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Cybersecurity attacks complication and damaging impact are always keeping SOC analyst at their edge. Extended Detection and Response (XDR) solutions tend to simplify for Sam, a SOC analyst, his job by simplifying the workflow and process that involve the lifecycle of a threat investigation from detection to response. In this post we will explore how SecureX, Secure Cloud Analytics (NDR), Secure Endpoint (EDR) with their seamless integration accelerate the ability to achieve XDR outcomes.
One of the first challenges for Sam is alert fatigue. With the overwhelming number of alerts coming from multiple sources and the lack of relevance or correlation, decreases the value of these alerts to the point that they become as meaningless as having none. To counter this effect, Cisco Secure Cloud Analytics and Cisco Secure Endpoint limit alert promotion to SecureX to only include high fidelity alerts with critical severity and marking them as High Impact incidents within SecureX Incident manager.
This capability reduces the noise coming from the source, while keeping the other alerts available for investigation, putting impactful incidents at the top of Sam’s to do list. Now, Sam is confident that his time is spent in a prioritized manner and helps ensure he is tackling the most important threats first. Automatic incident provisioning accelerates incident response by bringing focus on the most impactful incidents.
Understanding the mechanics and data around a specific incident is a key factor for Remi, an incident responder, in his day-to-day work. Achieving his tasks accurately is tightly coupled with his ability to scope and understand the impact of an incident and to gather all possible data from the environment which can be associated with an incident including devices, users, files hashes, email ids, domains IPs and others. SecureX Incident Manager’s automatic enrichment capability completes this data collection for high impact incidents automatically. The data is then classified into targets, observables, and indicators and added to the incident to help the analyst better understand the incident’s scope and potential impact.
The Incident Manager and automatic enrichment provides Remi with crucial information such as the associated MITRE Tactics and Techniques applied during this incident, the contributing threat vectors, and security solutions. In addition, the Incident Manager aggregates events from multiple sources into the same high impact incident that the enrichment was triggered on future providing Remi with more vital context.
This automatic enrichment for high impact incidents is essential to Remi’s understanding as much as possible about an incident as it occurs and significantly accelerates him identifying the proper response for the threat. This brings us to the next step in our incident detection to response workflow.
It is important for an XDR to correlate the right information for the Security Analyst and incident responder to understand an attack but it is equally important to provide an effective response mechanism. This is exactly what SecureX provides with the ability to apply a response to an observable with a simple a single click or through automation.
These workflows can be invoked to block a domain, IP or URL across a full environment with a simple click, leveraging existing integrations such as firewalls or umbrella and others. Workflows can be made available to the threat response pivot menu where they are useful for performing specific host specific actions, such as isolate a host, take a host snapshot, and more.
In addition to response workflows, the pivot menu provides the ability to leverage Secure Cloud Analytics (SCA) telemetry by generating a case book linking back to telemetry searches within SCA. This automation is critical to understanding the spread of a threat across an environment. A good example on this, is identifying all hosts communicating to a command-and-control destination before this destination was identified as malicious. This is a pre-existing SecureX workflow which can be taken advantage of today see workflow 0005 – SCA – Generate Case book with Flow Links.
Reducing time to remediation is a key aspect of keeping a business secure, SecureX orchestration automates responses with various solutions specially with NDR detections from SCA and use observables from these alerts to isolate hosts leveraging Secure Endpoint. SCA can send alerts via Webhooks and SecureX Orchestration receive them as triggers to launch an NDR- EDR workflow to isolate hosts automatically. (0014-SCA-Isolate endpoints from alerts)
This orchestration workflow automatically isolates rogue devices in a network or contain confirmed threat alerts received from Cisco’s Machine learning threat detection cloud and can be used for multiple different response scenarios.
The power of automation brought by SecureX, Secure Cloud Analytics and Secure Endpoint accelerates XDR outcomes drastically which simplifies Security Analyst (Sam) and Incident Responder (Remi) jobs and make it more efficient with accurate incident prioritization, automatic investigation/enrichment and most importantly automating responses.
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Nowadays, “cybersecurity” is the buzzword du jour, infiltrating every organization, invited or not. Furthermore, this is the case around the world, where an increasing proportion of all services now have an online presence, prompting businesses to reconsider the security of their systems. This, however, is not news to Cisco, as we anticipated it and were prepared to serve and assist clients worldwide.
Secure Cloud Analytics, part of the Cisco Threat, Detection, and Response (TD&R) portfolio, is an industry-leading tool for tackling core Network Detection and Response (NDR) use cases. These workflows focus primarily on threat detection and how security teams may recognize the most critical issues around hunting and forensic investigations to improve their mean-time-to-respond.
Over the last year, the product team worked tirelessly to strengthen the NDR offering. New telemetry sources, more advanced detections, and observations supplement the context of essential infrastructure aspects as well as usability and interoperability improvements. Additionally, the long-awaited solution Cisco Telemetry Broker is now available, providing a richer SecOps experience across the product.
As part of our innovation story on alerting capabilities, Secure Cloud Analytics now features new detections tied to the MITRE ATT&CK framework such as Worm Propagation, Suspicious User Agent, and Azure OAuth Bypass.
Additionally, various new roles and observations were added to the Secure Cloud Analytics to improve and change user alerts, that are foundational pieces of our detections. Alerts now include a direct link to AWS’ assets and their VPC, as well as direct access to Azure Security Groups, enabling further investigation capabilities through simplified workflows. In addition, the Public Cloud Providers are now included in coverage reports that provide a gap analysis to determine which accounts are covered. Alert Details offers new device information, such as host names, subnets, and role metrics that emphasize detection techniques. To better configure alerts, we are adding telemetry to gain contextual reference on their priority. Furthermore, the ingest process has grown more robust due to data from the Talos intelligence feed and ISE.
The highly anticipated SecureX integration is now available in a single click, with no API credentials required and smooth interaction between the two platforms. Most importantly, Secure Cloud Analytics alerts may now be configured to automatically publish as incidents to the SecureX Incident Manager. The Talos Intelligence Watchlist Hits Alert is on by default due to its prominence among the many alert types.
Among other enhancements to graphs and visualizations, the Encrypted Traffic widget allows for an hourly breakdown of data. Simultaneously, the Device Report contains traffic data for a specific timestamp, which may be downloaded as a CSV. Furthermore, the Event Viewer now displays bi-directional session traffic to provide even more context to Secure Cloud Analytics flows, as well as additional columns to help with telemetry log comprehension: Cloud Account, Cloud Region, Cloud VPC, Sensor and Exporter.
On-premises sensors now provide additional telemetry on the overview page and a dedicated page where users can look further into the telemetry flowing through them in Sensor Health. To optimize the Secure Cloud Analytics deployment and improve the user experience, sensors may now be deleted from the interface.
Regarding telemetry, Cisco Telemetry Broker can now serve as a sensor in Secure Cloud Analytics, so users can identify and respond to threats faster with additional context sent to Secure Cloud Analytics. In addition, there will soon be support for other telemetry types besides IPFIX and NetFlow.
As we can see from the vast number of new additions to Secure Cloud Analytics, the product team has been working hard to understand the latest market trends, listen to the customers’ requests, and build one of the finest SaaS products in the NDR industry segment. The efforts strongly underline how Secure Cloud Analytics can solve some of the most important challenges in the NDR space around visibility, fidelity of alerts and deployment complexity by providing a cloud hosted platform that can offer insights on-premise and on cloud environments simultaneously from the same dashboard. Learn more about new features that allow Secure Cloud Analytics to detect, analyze, and respond to the most critical dangers to their company much more quickly.
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In the second part of this blog series on Unscrambling Cybersecurity Acronyms, we covered Endpoint Detection and Response (EDR) and Managed Endpoint Detection and Response (MEDR) solutions, which included an overview of the evolution of endpoint security solutions. In this blog, we’ll go over Managed Detection and Response (MDR) and Extended Detection and Response (XDR) solutions in more depth.
MDR solutions are a security technology stack delivered as a managed service to customers by third-parties such as cybersecurity vendors or Managed Service Providers (MSPs). They’re similar to Managed Endpoint Detection and Response (MEDR) solutions since both solutions are managed cybersecurity services that use Security Operations Center (SOC) experts to monitor, detect, and respond to threats targeting your organization. However, the main difference between these two offerings is that MEDR solutions monitor only your endpoints while MDR solutions monitor a broader environment.
While MDR security solutions don’t have an exact definition for the types of infrastructure they monitor and the underlying security stack that powers them, they often monitor your endpoint, network, and cloud environments via a ‘follow the sun’ approach that uses multiple security teams distributed around the world to continually defend your environment. These security analysts monitor your environment 24/7 for threats, analyze and prioritize threats, investigate potential incidents, and offer guided remediation of attacks. This enables you to quickly detect advanced threats, effectively contain attacks, and rapidly respond to incidents.
More importantly, MDR security solutions allow you to augment or outsource your security to cybersecurity experts. While nearly every organization must defend their environment from cyberattacks, not every organization has the time, expertise, or personnel to run their own security solution. These organizations can benefit from outsourcing their security to MDR services, which enable them to focus on their core business while getting the security expertise they need. In addition, some organizations don’t have the budget or resources to monitor their environment 24/7 or they may have a small security team that struggles to investigate every threat. MDR security services can also help these organizations by giving them always-on security operations while enabling them to address every threat to their organization.
One drawback to deploying an MDR security service is that you become dependent on a third-party for your security needs. While many organizations don’t have any issues with this, some organizations may be hesitant to hand over control of their cybersecurity to a third-party vendor. In addition, organizations such as larger, more-risk averse companies may not desire an MDR service because they’ve already made cybersecurity investments such as developing their own SOC. Finally, MDR security solutions don’t have truly unified detection and response capabilities since they’re typically powered by heterogenous security technology stacks that lack consolidated telemetry, correlated detections, and holistic incident response. This is where XDR solutions shine.
XDR solutions unify threat monitoring, detection, and response across your entire environment by centralizing visibility, delivering contextual insights, and coordinating response. While ‘XDR’ means different things to different people because it’s a fairly nascent technology, XDR solutions usually consolidate security telemetry from multiple security products into a single solution. Moreover, XDR security solutions provide enriched context by correlating alerts from different security solutions. Finally, comprehensive XDR solutions can simplify incident response by allowing you to automate and orchestrate threat response across your environment.
These solutions speed up threat detection and response by providing a single pane of glass for gaining visibility into threats as well as detecting and responding to attacks. Furthermore, XDR security solutions reduce alert fatigue and false positives with actionable, contextual insights from higher-fidelity detections that mean you spend less time sifting through endless alerts and can focus on the most critical threats. Finally, XDR solutions enable you to streamline your security operations with improved efficiency from automated, orchestrated response across your entire security stack from one unified console.
A major downside to XDR security solutions is that you typically have to deploy and manage these solutions yourself versus having a third-party vendor run them for you. While Managed XDR (MXDR) services are growing, these solutions are still very much in their infancy. In addition, not every organization will want or need a full-fledged XDR solution. For instance, organizations with a higher risk threshold may be satisfied with using an EDR solution and/or an MDR service to defend their organization from threats.
As I mentioned in the first and second parts of this blog series, you shouldn’t take a ‘one-size-fits-all’ approach to cybersecurity since every organization has different needs, goals, risk appetites, staffing levels, and more. This logic holds true for MDR and XDR solutions, with these solutions working well for certain organizations and not so well for other organizations. Regardless, there are a few aspects to consider when evaluating MDR and XDR security solutions.
One factor to keep in mind is if you already have or are planning on building out your own SOC. This is important to think about because developing and operating a SOC can require large investments in cybersecurity, which includes having the right expertise on your security teams. Organizations unwilling to make these commitments usually end up choosing managed security services such as MDR solutions, which allows them to protect their organization without considerable upfront investments.
Other critical factors to consider are your existing security maturity and overall goals. For instance, organizations who have already made significant commitments to cybersecurity often think about ways to improve the operational efficiency of their security teams. These organizations frequently turn to XDR tools since these solutions reduce threat detection and response times, provide better visibility and context while decreasing alert fatigue. Moreover, organizations with substantial security investments should consider open and extensible XDR solutions that integrate with their existing tools to avoid having to ‘rip and replace’ security tools, which can be costly and cumbersome.
I hope this blog series on the different threat detection and response solutions help you make sense of the different cybersecurity acronyms while guiding you in your decision on the right security solution for your organization. For more information on MDR solutions, read about how Cisco Secure Managed Detection and Response (MDR) rapidly detects and contains threats with an elite team of security experts. For more information on XDR solutions, learn how the Cisco XDR offering finds and remediates threats faster with increased visibility and critical context to automate threat response.
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In the first part of this blog series on Unscrambling Cybersecurity Acronyms, we provided a high-level overview of the different threat detection and response solutions and went over how to find the right solution for your organization. In this blog, we’ll do a deeper dive on two of these solutions – Endpoint Detection and Response (EDR) and Managed Endpoint Detection and Response (MEDR). However, first let’s take a look back at the history of endpoint security solutions and understand how we got EDR and MEDR security solutions.
The very first endpoint security solutions started out as anti-virus solutions (AV) with basic security functionality that relied heavily on signature-based detection. These solutions were effective against known threats where a signature was created, but ineffective against unknown threats such as new and emerging attacks. That meant that organizations struggled to stay ahead of attackers, who were continuously evolving their techniques to evade detection with new types of malware.
To address this problem, AV vendors added detection technologies such as heuristics, reputational analysis, behavioral protection, and even machine learning to their solutions, which became known as Endpoint Protection Platforms (EPP). These unified solutions were effective against both known and unknown threats and frequently used multiple approaches to prevent malware and other attacks from infecting endpoints.
As cyberattacks grew increasingly sophisticated though, many in the cybersecurity industry recognized that protection against threats wasn’t enough. Effective endpoint security had to include detection and response capabilities to quickly investigate and remediate the inevitable security breach. This led to the creation of EDR security solutions, which focused on post-breach efforts to contain and clean up attacks on compromised endpoints.
Today, most endpoint security vendors combine EPP and EDR solutions into a single, converged solution that provides holistic defense to customers with protection, detection, and response capabilities. Many vendors are also offering EDR as a managed service (also known as MEDR) to customers who need help in securing their endpoints or who don’t have the resources to configure and manage their own EDR solution. Now that we’ve gone over how endpoint security evolved into EDR and MEDR security solutions, let’s cover EDR and MEDR in more depth.
EDR solutions continuously monitor your endpoints for threats, alert you in case suspicious activity is detected, and allow you to investigate, respond to and contain potential attacks. Moreover, many EDR security solutions provide threat hunting functionality to help you proactively spot threats in your environment. They’re often coupled with or part of a broader endpoint security solution that also includes prevention capabilities via an EPP solution to protect against the initial incursion.
As a result, EDR security solutions enable you to protect your organization from sophisticated attacks by rapidly detecting, containing, and remediating threats on your endpoints before they gain a foothold in your environment. They give you deep visibility into your endpoints while effectively identifying both known and unknown threats. Furthermore, you can quickly contain attacks that get through your defenses with automated response capabilities and hunt for hidden threats that are difficult to detect.
While EDR provides several benefits to customers, it has some drawbacks. Chief among them is that EDR security solutions are focused on monitoring endpoints only versus monitoring a broader environment. This means that EDR solutions don’t detect threats targeting other parts of your environment such as your network, email, or cloud infrastructure. In addition, not every organization has the security staff, budget, and/or skills to deploy and run an EDR solution. This is where MEDR solutions come into play.
Managed EDR or MEDR solutions are EDR capabilities delivered as a managed service to customers by third-parties such as cybersecurity vendors or Managed Service Providers (MSPs). This includes key EDR functionality such as monitoring endpoints, detecting advanced threats, rapidly containing threats, and responding to attacks. These third-parties usually have a team of Security Operations Center (SOC) specialists who monitor, detect, and respond to threats across your endpoints around the clock via a ‘follow the sun’ approach to monitoring.
MEDR security solutions allow you to offload the work of securing your endpoints to a team of security professionals. Many organizations need to defend their endpoints from advanced threats but don’t necessarily have the desire, resources, or expertise to manage an EDR solution. In addition, a team of dedicated SOC experts with advanced security tools can typically detect and respond to threats faster than in-house security teams, all while investigating every incident and prioritizing the most critical threats. This enables you to focus on your core business while getting always-on security operations.
Similar to EDR though, one downside to MEDR security solutions is that they defend only your endpoints from advanced threats and don’t monitor other parts of your infrastructure. Moreover, while many organizations want to deploy EDR as a managed service, not everyone desires this. For example, larger and/or more risk-averse organizations who are looking to invest heavily in cybersecurity are typically satisfied with running their own EDR solution. Now, let’s discuss how to choose the right endpoint security solution when trying to defend your endpoints from threats.
As I mentioned in my previous blog, there isn’t a single correct solution for every organization. This logic applies to EDR and MEDR security solutions as well since each solution works well for different types of organizations, depending on their needs, resources, motivations, and more. Nevertheless, one major factor to consider is if you have or are willing to build out a SOC for your organization. This is important because organizations that don’t have or aren’t willing to develop a SOC usually gravitate towards MEDR solutions, which don’t require significant investments in cybersecurity.
Another factor to keep in mind is your security expertise. Even if you’re have or are willing to build a SOC, you may not have the right cybersecurity talent and skills within your organization. While you can always build out your security team, you may want to evaluate an MEDR solution because a lack of expertise makes it difficult to effectively manage an EDR solution. Finally, a common misconception is that you must choose between an EDR and a MEDR solution and that you cannot run both solutions. In reality, many organizations end up using both EDR and MEDR since MEDR solutions often complement EDR deployments.
I hope this information and key factors help you better understand EDR and MEDR solutions while acting as a guide to selecting the best endpoint security solution for your organization. For more details on the different cybersecurity acronyms and how to identify the right solution for your needs, stay tuned for the next blog in this series – Unscrambling Cybersecurity Acronyms: The ABCs of MDR and XDR Security. In the meantime, learn how Cisco Secure Endpoint stops threats with a comprehensive endpoint security solution that includes both advanced EDR and MEDR capabilities powered by an integrated security platform!
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Security tools are only as good as the intelligence and expertise that feeds them. We’re very fortunate to have our security technologies powered by Cisco Talos, one of the largest and most trusted threat intelligence groups in the world. Talos is comprised of highly skilled researchers, analysts, and engineers who provide industry-leading visibility, actionable intelligence, and vulnerability research to protect both our customers and the internet at large.
The Talos team serves as a crucial pillar of our innovation — alerting customers and the public to new threats and mitigation tactics, enabling us to quickly incorporate protection into our products, and stepping in to help organizations with incident response, threat hunting, compromise assessments and more. Talos can also be found securing large-scale events such as the Super Bowl, and working with government and law enforcement organizations across the globe to share intelligence.
With Cisco’s vast customer base and broad portfolio — from routers and switches to email and endpoints — Talos has visibility into worldwide telemetry. Once a threat is seen, whether it’s a phishing URL or an IP address hosting malware, detections are created and indicators of compromise are categorized and blocked across our Cisco Secure portfolio.
Talos also leverages its unique insights to help society as a whole better understand and combat the cyberattacks facing us daily. During the war in Ukraine, the group has taken on the additional task of defending over 30 critical infrastructure providers in the country by directly managing and monitoring their endpoint security.
The reality of security today is that organizations must be constantly ready to detect and contain both known and unknown threats, minimize impact, and keep business going no matter what happens in the cyber realm. In light of hybrid work, evolving network architectures, and increasingly insidious attacks, all organizations must also be prepared to rapidly recover if disaster strikes, and then emerge stronger. We refer to this as security resilience, and Talos plays a critical role in helping our customers achieve it.
For several years, our integrated, cloud-native Cisco SecureX platform has been delivering extended detection and response (XDR) capabilities and more. SecureX allows customers to aggregate, analyze, and act on intelligence from disparate sources for a coordinated response to cyber threats.
Through the SecureX platform, intelligence from Talos is combined with telemetry from our customers’ environments — including many third-party tools — to provide a more complete picture of what’s going on in the network. Additionally, built-in, automated response functionality helps to speed up and streamline mitigation. This way, potential attacks can be identified, prioritized, and remediated before they lead to major impact.
For XDR to be successful, it must not only aggregate data, but also make sense of it. Through combined insights from various resources, SecureX customers obtain the unified visibility and context needed to rapidly prioritize the right threats at the right time. With SecureX, security analysts spend up to 90 percent less time per incident.
One of Australia’s largest universities, Deakin University, needed to improve its outdated security posture and transition from ad hoc processes to a mature program. Its small security team sought an integrated solution to simplify and strengthen threat defense.
With a suite of Cisco security products integrated through SecureX, Deakin University was able to reduce the typical investigation and response time for a major threat down from over a week to just an hour. The university was also able to decrease its response time for malicious emails from an hour to as little as five minutes.
“The most important outcome that we have achieved so far is that security is now a trusted function.”
– Fadi Aljafari, Information Security and Risk Manager, Deakin University
Also in the education space, AzEduNet provides connectivity and online services to 1.5 million students and 150,000 teachers at 4,300 educational institutions in Azerbaijan. “We don’t have enough staff to monitor every entry point into our network and correlate all the information from our security solutions,” says Bahruz Ibrahimov, senior information security engineer at AzEduNet.
The organization therefore implemented Cisco SecureX to accelerate investigations and incident management, maximize operational efficiency with automated workflows, and decrease threat response time. With SecureX, AzEduNet has reduced its security incidents by 80 percent.
“The integration with all our Cisco Secure solutions and with other vendors saves us response and investigation time, as well as saving time for our engineers.”
– Bahruz Ibrahimov, Senior Information Security Engineer, AzEduNet
The sophistication of attackers and sheer number of threats out there today make it extremely challenging for most cybersecurity teams to effectively stay on top of alerts and recognize when something requires their immediate attention. According to a survey by ESG, 81 percent of organizations say their security operations have been affected by the cybersecurity skills shortage.
That’s why Talos employs hundreds of researchers around the globe — and around the clock — to collect and analyze massive amounts of threat data. The group uses the latest in machine learning logic and custom algorithms to distill the data into manageable, actionable intelligence.
“Make no mistake, this is a battle,” said Nick Biasini, head of outreach for Cisco Talos, who oversees a team of global threat hunters. “In order to keep up with the adversaries, you really need a deep technical understanding of how these threats are constructed and how the malware operates to quickly identify how it’s changing and evolving. Offense is easy, defense is hard.”
Earlier this year, we unveiled our strategic vision for the Cisco Security Cloud to deliver end-to-end security across hybrid, multicloud environments. Talos will continue to play a pivotal role in our technology as we execute on this vision. In addition to driving protection in our products, Talos also offers more customized and hands-on expertise to customers when needed.
Cisco Talos Incident Response provides a full suite of proactive and emergency services to help organizations prepare for, respond to, and recover from a breach — 24 hours a day. Additionally, the recently released Talos Intel on Demand service delivers custom research unique to your organization, as well as direct access to Talos security analysts for increased awareness and confidence.
Visit our dedicated Cisco Talos web page to learn more about the group and the resources it offers to help keep global organizations cyber resilient. Then, discover how XDR helps Security Operations Center (SOC) teams hunt for, investigate, and remediate threats.
Watch video: What it means to be a threat hunter
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Ransomware and other advanced attacks continue to evolve and threaten organizations around the world. Effectively defending your endpoints from these attacks can be a complex undertaking, and a seemingly endless number of security acronyms only compounds that complexity. There are so many acronyms – EPP, EDR, MEDR, MDR, XDR, and more – for various cybersecurity products and services that it becomes difficult to understand the differences between them and choose the right solution for your organization. Deciphering all these acronyms is a task on its own and deciding which solution works best for you is even more challenging.
We here at Cisco believe that understanding these acronyms and determining which security products or services are the best fit for your organization’s needs doesn’t have to be so hard. That’s why we developed this blog – the first in a series – to give you an overview of the different types of threat detection and response solutions.
This series will help you understand the benefits and disadvantages of each solution, the similarities and differences between these solutions, and how to identify the right solution for your organization. Now let’s go over the different types of security solutions.
There are several types of threat detection and response solutions, including:
These solutions are similar in that they all enable you to detect and respond to threats, but they differ by the environment(s) being monitored for threats, who conducts the monitoring, as well as how alerts are consolidated and correlated. For instance, certain solutions will only monitor your endpoints (EDR, MEDR) while others will monitor a broader environment (XDR, MDR). In addition, some of these solutions are actually managed services where a third-party monitors your environment (MEDR, MDR) versus solutions that you monitor and manage yourself (EDR, XDR).
When evaluating these solutions, keep in mind that there isn’t a single correct solution for every organization. This is because each organization has different needs, security maturities, resource levels, and goals. For example, deploying an EDR makes sense for an organization that currently has only a basic anti-virus solution, but this seems like table stakes to a company that already has a Security Operations Center (SOC).
That being said, there are a few questions you can ask yourself to find the cybersecurity solution that best fits your needs, including:
Of these questions, the most critical are about your security goals and current cybersecurity posture. For instance, organizations at the beginning of their security journey may want to look at an EDR or MEDR solution, while companies that are further along their journey are more likely to be interested in an XDR. Asking whether you already have or are willing to build out a SOC is another essential question. This will help you understand whether you should run your security yourself (EDR, XDR) or find a third-party to manage it for you (MEDR, MDR).
Asking whether you have or are willing to hire the right security talent is another critical question to pose. This will also help determine whether to manage your cybersecurity solution yourself or have a third-party run it for you. Finally, questions about visibility and context, alert, and security tool fatigue, as well as detection and response times will help you to decide if your current security stack is sufficient or if you need to deploy a next-generation solution such as an XDR.
These questions will help guide your decision-making process and give you the information you need to make an informed decision on your cybersecurity solution. For more details on the different endpoint security acronyms and how to determine the right solution for your organization, keep an eye out for the next blog in this series – Unscrambling Cybersecurity Acronyms: The ABCs of EDR and MEDR. Stay tuned!
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A deep dive into the latest updates from Secure Network and Cloud Analytics that show Cisco’s leadership in the Security Industry.
The year 2022 has been rather hectic for many reasons, and as the World undergoes its various challenges and opportunities, We At Cisco Security have buckled up and focused on improving the World in the way which we know best: by making it more Secure.
In an increasingly vulnerable Internet environment, where attackers rapidly develop new techniques to compromise organizations around the world, ensuring a robust security infrastructure becomes ever more imperative. Across the Cisco Security Portfolio, Secure Network Analytics (SNA) and Secure Cloud Analytics (SCA) have continued to add value for their customers since their inception by innovating their products and enhancing their capabilities.
In the latest SNA 7.4.1 release, four core features have been added to target important milestones in our roadmap. As a first addition, SNA has widely expanded on its Data Store deployment options by introducing the single node Data Store; supporting existing Flow Collector (FC) and new Data Store expansion by the Manager; and the capacity to mix and match virtual and physical appliances to build a Data Store deployment.
The SNA Data Store started as a simple concept, and while it maintained its simplicity, it became increasingly more robust and performant over the recent releases. In essence, it represents a new and improved database architecture design that can be made up of virtual or physical appliances to provide industry leading horizontal scaling for telemetry and event retention for over a year. Additionally, the Flow Ingest from the Flow Collectors is now separate from the data storage, which allows them to now scale to 500K + Flows Per Second (FPS). With this new database design, are now optimized for performance, which has improved across all metrics by a considerable amount.
For the second major addition, SNA now supports multi-telemetry collection within a single deployment. Such data encompasses network telemetry, firewall logging, and remote worker telemetry. Now, Firewall logs can be stored on premises with the Data Store, making data available to the Firepower Management Center (FMC) via APIs to support remote queries. From the FMC, users can pivot directly to the Data Store interface and look at detailed events that optimize SecOps workflows, such as automatically filtering on events of interest.
On the topic of interfaces, users can now benefit from an intelligent viewer which provides all Firewall data. This feature allows to select custom timeframes, apply unique filters on Security Events, create custom views based on relevant subsets of data, visualize trends from summary reports, and finally to export any such view as a CSV format for archiving or further forensic investigations.
With respect to VPN telemetry, the AnyConnect Secure Mobility Client can now store all network traffic even if users are not using their VPN in the given moment. Once a VPN connection is restored, the data is then sent to the Flow Collector, and, with a Data Store deployment, off-network flow updates can bypass FC flow caches which allow NVM historical data to be stored correctly.
Continuing down the Data Store journey (and, what a journey indeed), users can now monitor and evaluate its performance in a simple and intuitive way. This is achieved with charts and trends directly available in the Manager, which can now support traditional non-Data Store FCs and one singular Data Store. The division of Flow Collectors is made possible by SNA Domains, where a Data Store Domain can be created, and new FCs added to it when desired. This comes as part of a series of robust enhancements to the Flow Collector, where the FC can now be made up of a single image (NetFlow + sFlow) and its image can be switched between the two options. As yet another perk of the new database design, any FC can send its data to the Data Store.
As it can be seen, the Data Store has been the star of the latest SNA release, and for obvious good reasons. Before coming to an ending though, it has one more feature up its sleeve: Converged Analytics. This SNA feature brings a simplified, intuitive and clear analytics experience to Secure Network Analytics users. It comes with out- of-the-box detections mapped to MITRE with clearly defined tactics and techniques, self-taught baselining and graduated alerting, and the ability to quiet non-relevant alerts, leading to more relevant detections.
This new Analytics feature is a strong step forward to give users the confidence of network security awareness thanks to an intuitive workflow and 43 new alerts. It also gives them a deep understanding of each alert with observations and mappings related to the industry-standard MITRE tactics and techniques. When you think it couldn’t get any better, the Secure Network and Cloud Analytics teams have worked hard to add even more value to this release, and ensured the same workflows, functionality and user experience could be further available in the SCA portal. Yes, this is the first step towards a more cohesive experience across both SNA and SCA, where users of either platform will start to benefit from more consistent outcomes regardless of their deployment model. As some would say, it’s like a birthday coming early.
Pivoting to Secure Cloud Analytics, as per Network sibling, the product got several enhancements over the last months of development. The core additions revolve around additional detections and context, as well as usability and integration enhancements, including those in Secure Cloud Insights. In parallel with SNA’s Converged Analytics, SCA benefits from detections mapped to the MITRE ATT&CK framework. Additionally, several detections underwent algorithm improvements, while 4 new ones were added, such as Worm Propagation, which was native to SNA. Regarding the backbone of SCA’s alerts, a multitude of new roles and observations were added to the platform, to further optimize and tune the alerts for the users.
Additionally, alerts now offer a pivot directly to AWS’ load balancer and VPC, as well as direct access to Azure Security Groups, to allow for further investigation through streamlined workflows. The two Public Cloud Providers are now also included in coverage reports that provide a gap analysis to gain insight as to what logs may have potentially gone missing.
Focusing more on the detection workflows, the Alert Details view also got additional information pertaining to device context which gives insight into hostnames, subnets, and role metrics. The ingest mechanism has also gotten more robust thanks to data now coming from Talos intelligence feed and ISE, shown in the Event Viewer for expanded forensics and visibility use cases.
While dealing with integrations, the highly requested SecureX integration can now be enabled in 1 click, with no API keys needed and a workflow that is seamless across the two platforms. Among some of the other improvements around graphs and visualizations, the Encrypted Traffic widget now allows an hourly breakdown of the data, while the Event Viewer now displays bi-directional session traffic, to bring even greater context to SCA flows.
In the context of pivots, as a user is navigating through devices that, for example, have raised an alert, they will now also see the new functionality to pivot directly into the Secure Cloud Insights (SCI) Knowledge Graph, to learn more about how various sources are connected to one another. Another SCI integration is present within the Device Outline of an Alert, to gain more posture context, and as part of a configuration menu, it’s now possible to run cloud posture assessments on demand, for immediate results and recommendations.
With this all said, we from the Secure Analytics team are extremely excited about the adoption and usage of these features so that we can keep on improving the product and iterating to solve even more use cases. As we look ahead, the World has never needed more than now a comprehensive solution to solve one of the most pressing problems in our society: cyber threats in the continuously evolving Internet space. And Secure Analytics will be there, to pioneer and lead the effort for a safe World.
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Extended Detection and Response, or XDR, the cybersecurity topic that dominated the RSA conference 2022 show floor with multiple vendors, has been getting a lot of attention lately, and for good reason. A connected, unified approach to detection and response promises to give security professionals all the tools and capabilities they need to address the ever-growing attack surface.
At Cisco, we wanted to get an independent view of what XDR means to a security operations audience, so we partnered with ESG on a survey conducted in April 2022 of 376 IT cybersecurity professionals in North America, which explored some key questions and trends for security operations centers as it relates to XDR. This new eBook, SOC Modernization and the Role of XDR, provides insights into the survey. Unsurprisingly, 52 percent of organizations surveyed believe that security operations are more challenging than just two years ago, and it’s clear cybersecurity professionals are looking for the next architecture to solve these challenges.
The distributed nature of the network is resulting in more data from multiple control points. The survey showed that while 80 percent of organizations are already using more than 10 data sources as a part of their security operations, they want even more as they realize the value of being able to aggregate, normalize, correlate, and contextualize data so they can take better actions faster. At the same time, 81 percent say that they have been impacted by the cybersecurity skills shortage, and more data without the capabilities and skills in place to act will only diminish the ability to address threats.
To help fill those skills gaps, improved threat detection playbooks and incident prioritization will be critical aspects of the security operations strategy. Another key tool widely recognized as important in building a foundation is the MITRE ATT&CK framework that can help your teams focus and understand adversary tactics and techniques based on real-world observations.
While a common industry definition remains elusive, one thing is clear: XDR will play a critical role in the modernization of the security operations center. Determining how it will help your security operations team, and which partners to work with as you build out your XDR approach, will determine your level of success.
You need XDR to transform your infrastructure from a series of disjointed solutions into a fully integrated ecosystem that gets you to your outcome more effectively and efficiently. Cisco has built XDR capabilities into the broad portfolio of our security products and easily integrates with existing solutions in your environment using open APIs. After you’ve read the ESG SOC Modernization and the Role of XDR eBook, we invite you to take a look at the Cisco XDR Buyer’s Guide, which outlines five key elements of XDR done right and provides some questions to ask as you consider which vendors you want to work with in building out your security strategy. Don’t wait to start planning how XDR will help your security operations team.
Source: ESG Research Study, SOC Modernization and the Role of XDR, June 2022
See XDR done right:
Cisco XDR Buyer’s Guide
This article is part of a series in which we will explore several features, principles, and the building blocks of a security detection engine within an extended detection and response (XDR) solution.
In this second installment, we will look at ways of structuring the presentation of machine-generated alerts, so that each alert offers a cohesive and compelling narrative, as if written by a human analyst, at scale and in realtime.
In cyber security, we are used to two types of stories.
The first story is common for reports written by humans. It contains sections such as “impact,” “reproduction,” and “remediation” to help us understand what is at stake and what we need to fix. For example:
IMPACT: An SSH server which supports password authentication is susceptible to brute-forcing attacks.
REPRODUCTION: Use the `ssh` command in verbose mode (`ssh -v`) to determine supported authentication methods. Look for “keyboard-interactive” and “password” methods.
REMEDIATION: Disable unneeded authentication methods.
The second story comes from machine detections. It is much terser in content and sometimes leaves us scratching our heads. “Malware,” the machine says with little explanation, followed by a horde of gibberish-looking data of network flows, executable traces, and so on.
The challenge is now to get the best of both worlds: to enhance machine-generated alerts with the richness of human-written reports. The following sections explain how this can be approached.
In our example of a report written by a human, the “reproduction” section would help us understand, from a factual perspective, how exactly the conclusions were derived.
On the other hand, the machine-generated horde of data provides evidence in a very nondescript way. We would need to be smart enough to spot or reverse-engineer what algorithm the machine was following on said data. Most security analysts do not wish to do this. Instead, they attempt to seek the first story type. “Surely, someone must have written a blog or something more descriptive about this already,” they would say. Then, they would copy-paste anything that looks like a searchable term – an IP address, domain, SHA checksum – and start searching it, either on a threat intelligence search site or even a general-purpose search engine.
Having such cryptic machine-generated alerts is leading us to our first two issues: first, when the story is incomplete or misunderstood, it may lead the analyst astray. For example, the security event might involve requests to communicate with an IP address, and the analyst would say, “This IP address belongs to my DNS server, so the traffic is legitimate.” However, the detection engine was really saying, “I suspect there is DNS tunnelling activity happening through your DNS server—just look at the volume.”
Second, when an analyst seeks explanations from elsewhere, the main function of an advanced detection engine — finding novel, localized, and targeted attacks — cannot work. Information on attacks is generally available only after they have been discovered and analyzed, not when they happen initially.
A common approach to remedy this situation is to include a short description of the algorithm. “This detector works by maintaining a baseline of when during the day a user is active and then reports any deviations,” a help dialog would say. “Okay, that’s clever,” an analyst would reply. But this is not enough. “Wait, what is the baseline, and how was it violated in this particular security event?” To find the answer, we need to go back to the horde of data.
To mimic the “reproduction” section of the human-written report, our security events are enriched with an annotation—a short summary of the behavior described by the event. Here are a few examples of such annotated events:
In the first and second cases, the story is relatively straightforward: in the horde of data, successful communication with said hostnames was observed. An inference through threat intelligence associates these hostnames to the Sality malware.
The third line informs us that, on a factual basis, only a communication with an IP address was observed. Further chain of inferences is that this IP address was associated by a passive DNS mechanism to a hostname which is in turn associated to the Sality malware.
In the fourth event, we have an observation of full HTTP URL requests, and inference through a pattern matcher associates this URL to the Sality malware. In this case, neither the hostname nor the IP address is important to the detector.
In all these annotated events, an analyst can easily grasp the factual circumstances and what the detection engine infers and thinks about the observations. Note that whether these events describe benign, malicious, relevant, or irrelevant behavior, or whether they lead to true or false positives, is not necessarily the concern. The concern is to be specific about the circumstances of the observed behavior and to be transparent about the inferences.
When we eventually succeed in explaining the security events, we might not be finished with the storytelling yet. The analyst would face another dilemma. They would ask: “What relevance does this event have in my environment? Is it part of an attack, an attack technique perhaps? What should I look for next?”
In the human-written report, the “impact” section provides a translation between the fact-based technical language of “how” and the business language of “what.” In this business language, we talk about threats, risks, attacker objectives, their progress, and so on.
This translation is an important part of the story. In our previous example about DNS tunnelling, we might want to express that “an anomaly in DNS traffic is a sign of an attacker communicating with their command-and-control infrastructure,” or that “it is a sign of exfiltration,” or perhaps both. The connotation is that both techniques are post-infection, and that there is probably already a foothold that the attacker has established. Perhaps other security events point to this, or perhaps it needs to be sought after by the analyst.
When it is not explicit, the analyst needs to mentally perform the translation. Again, an analyst might look up some intelligence in external sources and incorrectly interpret the detection engine’s message. Instead, they might conclude that “an anomaly in DNS traffic is a policy violation, user error, or reconnaissance activity,” leading them astray from pivoting and searching for the endpoint foothold that performs the command-and-control activity.
We take special attention not to mix these two different dictionaries. Rather, we express separately the factual observations versus the conclusions in the form of threats and risks. Inbetween, there are the various chains of inferences. Based on the complexity, the depth of the story varies, but the beginning and the end will always be there: facts versus conclusions.
This is very similar to how an analyst would set up their investigation board to organize what they know about the case. Here is an elaborate example:
In this case, from top to bottom:
In all points, the “what” and “how” languages are distinguished from each other. Finally, the whole story is stitched together into one alert by using the alert fusion algorithm described in the Intelligent alert management blog post.
Have we bridged the storytelling gap between machine-generated and human-generated reports?
Threat detections need to be narrated in sufficient detail, so that our users can understand them. Previously, we relied on the human aspect—we would need to document, provide support, and even reverse-engineer what the detection algorithms said.
The two solutions, distinguishing the “what/how” languages and the annotated events, provide the bandwidth to transmit the details and the expert knowledge directly from the detection algorithms. Our stories are now rich with detail and are built automatically in real time.
The result allows for quick orientation in complex detections and lowers the time to triage. It also helps to correctly convey the message, from our team, through the detection engine, and towards the analyst, lowering the possibility of misinterpretation.
This capability is part of Cisco Global Threat Alerts, currently available within Cisco Secure Network Analytics and Cisco Secure Endpoint, and has been continually improved based on customer feedback. In the future, it will also be available in Cisco SecureX XDR.
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It’s a busy month for cybersecurity, with the return of in-person RSAC in San Francisco, followed by Cisco Live in very lively Las Vegas! With so much happening, and so many announcements from every security vendor out there, it can be hard to keep track of everything going on. Let us help give you the highlights from a Cisco SecureX perspective!
We have been busy this past year, with our acquisition of Kenna Security and our recent innovations around device insights – all helping to expand and strengthen SecureX and our extended detection and response (XDR) capabilities.
Let’s start with device insights. We know that correlation of incidents and alerts is a vital capability for every good XDR offering, but what about correlating and aggregating information about the devices themselves? With the growing number of devices in many customer environments there is also a growing number of products with information about those devices. This can cause duplicate records and multiple alerts from the same device – which means more potentially false positive incidents to investigate, and more headaches trying to manually correlate and connect device information. With device insights organizations can discover, normalize, and consolidate information about all the devices in your environment – so you can avoid duplicate alerts, and discover devices that may be sneaking through gaps in your security. Device insights gives you a comprehensive view into each device’s security posture and management status.
Now, a more insightful view of all the devices across your infrastructure is a must-have, but so is the ability to view and manage vulnerabilities across these endpoints. With Cisco’s acquisition of Kenna Security last year, and our on-going integration of Kenna offerings into the Cisco Secure portfolio, we’re continuing to fortify SecureX and our XDR capabilities with industry leading risk-based vulnerability management. Kenna vulnerability management has already started integrations with Cisco Secure Endpoint, providing vulnerability scores on the OS version, as well as any available fixes. On the SecureX side, Kenna integrations are being leveraged to automatically enrich threat detections with vulnerability information, and automatically create ticketing workflows for Kenna.VM customers using ServiceNow.
With these integrations, and more innovations planned for the near future, risk-based vulnerability management will become a cornerstone for all endpoint and XDR deployments.
Check out our recent blog posts for more information about device insights and Kenna and SecureX orchestration!
Visit us at RSAC at booth 6045 for Cisco Secure, and booth 6362 for Kenna, and at Cisco Live in the World of Solutions to learn more.
Cisco Secure Firewall stops threats faster, empowers collaboration between teams, and enables consistency across your on-premises, hybrid, and multi-cloud environments. With an included entitlement for Cisco SecureX, our XDR and orchestration platform, you’ll experience efficiency at scale and maximize your productivity. New streamlined Secure Firewall integrations make it easier to use SecureX capabilities to increase threat detection, save time and provide the rapid and deeper investigations you require. These new features and workflows provide the integration and automation to simplify your security.
The entire suite of Firewall Management Center APIs is now available in the cloud. This means that existing APIs can now be executed from the cloud. Cisco makes this even easier for you by delivering fully operational workflows as well as pre-built drag-n-drop code blocks that you can use to craft your own custom workflows. SecureX is able to proxy API calls from the cloud to the SSE connector embedded in the FMC codebase. This integration between Firewall 7.2 and SecureX provides your Firewall with modern cloud-based automation.
We’ve dramatically reduced the amount of time needed to fully integrate Firewall into Securex. Even existing Firewall customers who use on-premises Firewall Management Center will be able to upgrade to version 7.2 and start automating/orchestrating in under 15 minutes — a huge time savings! The 7.2 release makes the opportunities for automating your Firewall deployment limitless with our built-in low code orchestration engine.
Previously Firewall admins had to jump through hoops to link their smart licensing account with SecureX which resulted in a very complicated integration process. With the new one-click integration, simply click “Enable SecureX” in your Firewall Management Center and log into SecureX. That’s it! Your Firewalls will automatically be onboarded to SecureX.
Cisco Secure Firewall users now get immense value from SecureX with the orchestration capability built natively into the Firewall. Previously Firewall admins would have to deploy an on-premises virtual machine in vCenter to take advantage of Firewall APIs in the cloud which was a major hurdle to overcome. With the 7.2 release, orchestration is built right into your existing Firewall Management Center. There is no on-premises connector required; SecureX orchestration is able to communicate directly with Firewall APIs highlighting the power of Cisco-on-Cisco integrations.
The PSIRT impact monitoring workflows helps customers streamline their patch management process to ensure their network is always up to date and not vulnerable to CVE’s. This workflow will check for new PSIRTs, determine if device versions are impacted, and suggest a fixed version to upgrade to. By scheduling this workflow to run once a week customers can be notified via email if there is any potential impact from a PSIRT.
This workflow will run every 15 minutes to pull a health report from FMC and proactively notify customers via email if any devices are unhealthy. This means customers can rest assured that their fleet of devices is operating as expected or be notified of things like high CPU usage, low disk space, or interfaces going down.
This workflow highlights the power of automation and showcases what is possible by using the orchestration proxy to use FMC API’s. Managing policy is always an on-going effort but can be made easier by introducing automation. This workflow can be run once a week to search through Firewall policies and determine if any rules are going to expire soon. This makes managing policy much easier because customers will be notified before rules expire and can make changes accordingly.
This workflow is a one-click response action available from the threat response pivot menu. With the click of a button a URL is added to an object in a block rule of your access control policy. This action can be invoked during an investigation in SecureX or from any browser page using the SecureX browser extension. Reducing time to remediation is a critical aspect of keeping your business secure. This workflow turns a multi-step policy change into a single click by taking advantage of Secure Firewall’s integration with SecureX.
A recent Forrester Economic Impact Study of Secure Firewall show that deploying these types of workflows in SecureX with Secure Firewall increased operational efficiency.
In fact, SecureX in combination with Secure Firewall helped to dramatically reduce the risk of a material breach. It’s clear that the integration of the two meant a significant time savings for already overburdened teams.
We continue to innovate new features and workflows that prioritize the efficacy of your teams and help drive the security resilience of your organization.
Ready to add SecureX capabilities to your Firewall environment? Start here.
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The endpoint has long been a major focal point for attackers targeting enterprise IT environments. Yet increasingly, security bosses are being forced to protect data across the organization, whether it’s in the cloud, on IoT devices, in email, or on-premises servers. Attackers may jump from one environment to the next in multi-stage attacks and even hide between the layers. So, it pays to have holistic visibility, in order to detect and respond more effectively.
This is where XDR solutions offer a convincing alternative to EDR and point solutions. But unfortunately, not all providers are created equal. Trend Micro separates themselves from the pack by providing mature security capabilities across all layers, industry-leading threat intelligence, and an AI-powered analytical approach that produces fewer, higher fidelity alerts.
Under pressure
It’s no secret that IT security teams today are under extreme pressure. They’re faced with an enemy able to tap into a growing range of tools and techniques from the cybercrime underground. Ransomware, social engineering, fileless malware, vulnerability exploits, and drive-by-downloads, are just the tip of the iceberg. There are “several hundred thousand new malicious programs or unwanted apps registered every day,” according to a new Osterman Research report. It argues that, while endpoint protection must be a “key component” in corporate security strategy, “It can only be one strand” —complemented with protection in the cloud, on the network, and elsewhere.
There’s more. Best-of-breed approaches have saddled organizations with too many disparate tools over the years, creating extra cost, complexity, management headaches, and security gaps. This adds to the workload for overwhelmed security teams.
According to Gartner, “Two of the biggest challenges for all security organizations are hiring and retaining technically savvy security operations staff, and building a security operations capability that can confidently configure and maintain a defensive posture as well as provide a rapid detection and response capacity. Mainstream organizations are often overwhelmed by the intersectionality of these two problems.”
XDR appeals to organizations struggling with all of these challenges as well as those unable to gain value from, or who don’t have the resources to invest in, SIEM or SOAR solutions. So what does it involve?
What to look for
As reported by Gartner, all XDR solutions should fundamentally achieve the following:
However, the analyst urges IT buyers to think carefully before choosing which provider to invest in. That’s because, in some cases, underlying threat intelligence may be underpowered, and vendors have gaps in their product portfolio which could create dangerous IT blind spots. Efficacy will be a key metric. As Gartner says, “You will not only have to answer the question of does it find things, but also is it actually finding things that your existing tooling is not.”
A leader in XDR
This is where Trend Micro XDR excels. It has been designed to go beyond the endpoint, collecting and correlating data from across the organization, including; email, endpoint, servers, cloud workloads, and networks. With this enhanced context, and the power of Trend Micro’s AI algorithms and expert security analytics, the platform is able to identify threats more easily and contain them more effectively.
Forrester recently recognized Trend Micro as a leader in enterprise detection and response, saying of XDR, “Trend Micro has a forward-thinking approach and is an excellent choice for organizations wanting to centralize reporting and detection with XDR but have less capacity for proactively performing threat hunting.”
According to Gartner, fewer than 5% of organizations currently employ XDR. This means there’s a huge need to improve enterprise-wide protection. At a time when corporate resources are being stretched to the limit, Trend Micro XDR offers global organizations an invaluable chance to minimize enterprise risk exposure whilst maximizing the productivity of security teams.
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As the world has adopts work from home initiatives, we’ve seen many organizations accelerate their plans to move from on-premises endpoint security and Detection and Response (EDR/XDR) solutions to Software as a Service versions. And several customers who switched to the SaaS version last year, recently wrote us to tell how glad to have done so as they transitioned to working remote. Here are 5 reasons to consider moving to a cloud managed solution:
If you haven’t found the time to update your endpoint security software and are one or two versions behind, you are putting your organization at risk of attack. Older versions do not have the same level of protection against ransomware and file-less attacks. Just as the threats are always evolving, the same is true for the technology built to protect against them.
With Apex One as a Service, you always have the latest version. There are no software patches to apply or Apex One servers to manage – we take care of it for you. If you are working remote, this is one less task to worry about and less servers in your environment which might need your attention.
With redundant processes and continuous service monitoring, Apex One as a Services delivers the uptime you need with 99.9% availability. The operations team also proactively monitors for potential issues on your endpoints and with your prior approval, can fix minor issues with an endpoint agent before they need your attention.
By transferring endpoint telemetry to a cloud data lake, detection and response activities like investigations and sweeping can be processed much faster. For example, creating a root cause analysis diagram in cloud takes a fraction of the time since the data is readily available and can be quickly processed with the compute power of the cloud.
The unmatched power of cloud computing also enables analytics across a high volume of events and telemetry to identify a suspicious series of activities. This allows for innovative detection methods but also additional mapping of techniques and tactics to the MITRE framework. Building the equivalent compute power in an on- premises architecture would be cost prohibitive.
According to Verizon, 94% of malware incidents start with email. When an endpoint incident occurs, chances are it came from an email message and you want to know what other users have messages with the same email or email attachment in their inbox? You can ask your email admin to run these searches for you which takes time and coordination. As Forrester recognized in the recently published report: The Forrester Wave Enterprise Detection and Response, Q1 2020:
“Trend Micro delivers XDR functionality that can be impactful today. Phishing may be the single most effective way for an adversary to deliver targeted payloads deep into an infrastructure. Trend Micro recognized this and made its first entrance into XDR by integrating Microsoft office 365 and Google G suite management capabilities into its EDR workflows.”
This XDR capability is available today by combining alerts, logs and activity data of Apex One as a Service and Trend Micro Cloud App Security. Endpoint data is linked with Office 365 or G Suite email information from Cloud App Security to quickly assess the email impact without having to use another tool or coordinate with other groups.
Moving endpoint protection and detection and response to the cloud, has enormous savings in customer time while increasing their protection and capabilities. If you are licensed with our Smart Protection Suites, you already have access to Apex One as a Service and our support team is ready to help you with your migration. If you are an older suite, talk to your Trend Micro sales rep about moving to a license which includes SaaS.
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Over the past three decades, we’ve had time at Trend Micro to observe the industry trends that have the biggest impact on our customers. And one of the big things we’ve seen is that threats move largely in tandem with changes to IT infrastructure. This matters today because most organizations are transforming the way they run and manage their infrastructure—a daunting task on its own.
But with digital transformation also comes an expanded corporate attack surface, driving security leaders to demand enhanced visibility, detection & response across the entire enterprise — this is not just about the endpoint.
Transforming business
Over the past five years, there has been a major shift in the way IT infrastructure is delivered, and with that shift, increasing complexity. A big part of this change has been the use of the cloud, reflected in Gartner’s prediction that the market will grow to over $266 billion in 2020. Organizations everywhere are leveraging the cloud and DevOps to rapidly deliver new and differentiated applications and services for their customers, partners and employees. And the use of containers and microservices across a multi-cloud and hybrid environment is increasingly common.
In addition to leveraging public cloud services like IaaS, organizations are also rapidly adopting SaaS applications like Office 365, and expanding their use of mobile and collaborative applications to support remote working. Some are even arguing that working patterns may never be the same again, following the changes forced on many employers by the Covid-19 pandemic.
Combine these changes with networks that continue to extend to include branch offices and add new areas to protect like operational technology including industrial systems, and we can certainly see that the challenges facing the modern enterprise look nothing like they did a few years ago.
Under fire, under pressure
All of these infrastructure changes make for a broader attack surface that the bad guys can take advantage of, and they’re doing so with an increasingly wide range of tools and techniques. In the cloud there is a new class of vulnerabilities introduced through a greater use of open source, containers, orchestration platforms, supply chain applications and more. For all organizations, the majority of threats still prey upon the user, arriving via email (over 90% of the 52.3 billion we blocked in 2019), and they’re no longer just basic phishing attempts. There’s been an uptick in fileless events designed to bypass traditional security filters (we blocked 1.4 million last year). And Business Email Compromise (BEC) and ransomware continue to evolve, the latter causing major outages across local government, healthcare and other vulnerable sectors.
Organizations are often left flat-footed because they don’t have the in-house skills to secure a rapidly evolving IT environment. Mistakes get made, and configuration errors can allow the hackers to sneak in.
Against this backdrop, CISOs need visibility, detection and response capabilities across the extended enterprise. But in too many cases, teams are struggling because they have:
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Beyond the endpoint
While endpoint detection and response (EDR) has become a popular response to some of these problems over recent years, the reality is that cyber-attacks are rarely straightforward and limited to the endpoint (as noted in the email statistic above). Security teams actually need visibility, detection, and response across the entire IT environment, so they can better contextualize and deal with threats.
This is what Trend Micro XDR offers. It provides visibility across not just endpoints but also email, servers, cloud workloads and networks, applying AI and expert security analytics to correlate and identify potential threats. The result is fewer, higher fidelity alerts for stretched IT security teams to deal with. Recognizing the skills shortage reality, we also offer a managed XDR service that augments in-house SOC activities with the power of Trend Micro security experts.
Detection and response is too important to be limited to the endpoint. Today’s CISOs need visibility, detection, and response everywhere.
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