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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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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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The word is out! Cisco Secure Endpoint’s effectiveness is off the charts in protecting your enterprise environment.
This is not just a baseless opinion; however, the facts are rooted in actual test results from the annual AV-Comparative EPR Test Report published in October 2022. Not only did Secure Endpoint knock it out of the park in enterprise protection; but Cisco Secure Endpoint obtained the lowest total cost of ownership (TCO) per agent at $587 over 5 years. No one else was remotely close in this area. More to come on that later.
If you are not familiar with the “AV-Comparatives Endpoint Prevention and Response Test is the most comprehensive test of EPR products ever performed. The 10 products in the test were subjected to 50 separate targeted attack scenarios, which used a variety of different techniques.”
These results are from an industry-respected third-party organization that assesses antivirus software and has just confirmed what we know and believe here at Cisco, which is our Secure Endpoint product is the industry’s best of the best.
Look for yourself at where we landed. That’s right, Cisco Secure Endpoint smashed this test, we are almost off the quadrant as one of the “Strategic Leaders”.
We ended up here for a combination of reasons, with the top being our efficacy in protecting our customers’ environments in this real-world test that emulates multi-stage attacks similar to MITRE’s ATT&CK evaluations which are conducted as part of this process (click here for an overview of MITRE ATT&CK techniques). Out of all the 50 scenarios tested, Secure Endpoint was the only product that STOPPED 100% of targeted threats toward enterprise users, which prevented further infiltration into the organization.
In addition, this test not only assesses the efficacy of endpoint security products but also analyzes their cost-effectiveness. Following up on my earlier remarks about achieving the lowest cost of ownership, the graph below displays how we stacked up against other industry players in this space including several well-known vendors that chose not to display their names due to poor results.
These results provide a meaningful proof point that Cisco Secure Endpoint is perfectly positioned to secure the enterprise as well as secure the future of hybrid workers.
Enriched with built-in Extended Detection and Response (XDR) capabilities, Cisco Secure Endpoint has allowed our customers to maintain resiliency when faced with outside threats.
As we embark on securing “what’s next” by staying ahead of unforeseen cyber threats of tomorrow, Cisco Secure Endpoint integration with the complete Cisco Secure Solutions portfolio allows you to move forward with the peace of mind that if it’s connected, we can and will protect it.
Now that you have seen how effective Secure Endpoint is with live real-world testing, try it for yourself with one of our live instant demos. Click here to access instructions on how to download and install your demo account for a test drive.
Click here to see what analysts, customers, and third-party testing organizations have to say about Cisco Secure Endpoint Security efficacy, easy implementation and overall low total cost of ownership for their organization —and stay ahead of threats.
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Today we’re examining some of the revelations in the Q3 Cisco Talos Incident Response Trends Report. This document is an anonymized look at of all the engagements that the Cisco Talos Incident Response team have been involved in over the previous three months. It also features threat intelligence from our team of researchers and analysts.
To start, take a watch of this episode of ThreatWise TV which explores how these trends have evolved since the previous quarter. Our guests also talk about incidents and cyber-attacks that they themselves have consulted on recently, including a particularly interesting insider threat case.
Ransomware returned as the top threat this quarter, after commodity trojans narrowly surpassed ransomware last quarter. Ransomware made up nearly 18 percent of all threats observed, up from 15 percent last quarter. Cisco Talos Incident Response (CTIR) observed high-profile families, such as Vice Society and Hive, as well as the newer family Blast Basta, which first emerged in April of this year.
Also noteworthy is the fact that CTIR saw an equal number in ransomware and pre- ransomware engagements this quarter, totalling nearly 40 percent of threats observed. Pre-ransomware is when we have observed a ransomware attack is about to happen, but the encryption of files has not yet taken place.
Pre-ransomware comprised 18 percent of threats this quarter, up from less than 5 percent previously. While it’s difficult to determine an adversary’s motivations if encryption does not take place, several behavioral characteristics bolster Talos’ confidence that ransomware may likely be the final objective. In these engagements adversaries were observed deploying frameworks such as Cobalt Strike and Mimikatz, alongside numerous enumeration and discovery techniques.
Commodity malware, such as the Qakbot banking trojan, was observed in multiple engagements this quarter. In one engagement, several compromised endpoints were seen communicating with IP addresses associated with Qakbot C2 traffic. This activity coincides with a general resurgence of Qakbot and its delivery of emerging ransomware families and offensive security frameworks that we have not previously observed Qakbot deploy. This comes at a time where competing email-based botnets like Emotet and Trickbot have suffered continued setbacks from law enforcement and tech companies.
Other threats this quarter include infostealers like Redline Stealer and Raccoon Stealer. Redline Stealer was observed across three engagements this quarter, two of which involved ransomware. The malware operators behind Raccoon introduced new functionality to the malware at the end of June, which likely contributed to its increased presence in engagements this quarter.
As infostealers have continued to rank highly in CTIR engagements, let’s explore them in a bit more detail.
Throughout the incidents discussed over the last few quarters, and CTIR engagements in general, information stealing plays a big part of the attackers’ TTPs.
From a high level, infostealers can be used to gain access a variety of sensitive information, such as contact information, financial details, and even intellectual property. The adversaries involved often proceed to exfiltrate this information and may then attempt to sell it in dark web forums, threaten to release it if a ransom isn’t paid, among other things.
While these instances can and do crop up in CTIR engagements, many of the infostealers seen in this space are used for accessing and collecting user credentials. Once an attacker has gained an initial foothold on a system, there are many places within an operating system that they can look for and collect credentials through the practice of credential dumping.
These stolen credentials may be offered up for sale on the dark web, alongside the stolen information mentioned above, but they can also prove to be a key weapon in an attacker’s arsenal. Their usefulness lies in one simple concept—why force your way into a system when you can just log in?
There are several advantages for bad actors that use this approach. Probably the most oblivious of these is that using pre-existing credentials is far more likely to go unnoticed than other more flagrant tactics an attacker can use. If part of the goal of an attack is to remain under the radar, activities carried out by “known users” are less likely to trigger security alerts when compared to tactics such as exploiting vulnerabilities or downloading malware binaries.
Adversaries tend to seek credentials with higher privileges, allowing them further control over the systems they compromise, with those including administrative access being the crown jewels.
User credentials can not only provide an attacker with means to elevate privileges and establish persistence on a system, but also to move laterally through a network. Some credentials, especially those with administrative privileges, can offer access to multiple systems throughout a network. By obtaining them, many more options become available to further an attack.
There are several threats involved in information stealing that appear repeatedly in CTIR engagements over the last few quarters.
Perhaps the most notorious is Mimikatz—a tool used to pull credentials from operating systems. Mimikatz is not malware per-se and can be useful for penetration testing and red team activities. But bad actors leverage it as well, and over the last few quarters CTIR has observed it being used in ransomware-as-a-service attacks, as well as pre-ransomware incidents.
CTIR has also observed Redline Stealer being utilized by adversaries in CTIR engagements across quarters. This infostealer has grown in popularity as a supplementary tool used alongside other malware. On more than one occasion, CTIR has identified stolen credentials on the dark web that claimed to have been obtained via Redline Stealer.
Other information stealers seen across the last few quarters include the Vidar information stealer, Raccoon Stealer, and SolarMaker, all of which have been used to further an adversary’s attacks.
Over the last several months, Talos has seen an increasing number of engagements involving insider threats. In one engagement this quarter, passwords were reset through a management console of a perimeter firewall that a disgruntled employee had access to.
The organization’s team changed all associated passwords but overlooked one administrative account. On the following day, someone logged in using that account, deleted all other accounts and firewall rules, and created one local account, likely to provide persistence.
You’ll hear Alexis Merritt, Incident Response Consultant for Cisco Talos, talk about this more in the ThreatWise TV episode.
To help protect against this threat when an individual leaves an organization, steps like disabling accounts and ensuring that connections to the enterprise remotely through VPN has been removed can be very valuable. Implementing a mechanism to wipe systems, especially for remote employees, is important as well.
For more on this topic, Cisco Secure recently put together a white paper on the Insider Threat Maturity FrameWork.
In several incidents over the last few quarters that involved information stealers, multi-factor authentication (MFA) was not properly implemented by the organizations impacted, providing adversaries an opportunity to infiltrate the networks. MFA tools like Cisco Secure Access by Duo can prevent attackers from successfully gaining access.
And finally, Cisco Advisory CISO Wolfgang Goerlich has created this storytelling video, to help people think about incident response in a new way:
Join the Cisco Talos Incident Response team for a live debrief of the Q3 report on 27th October.
We’d love to hear what you think. Ask a Question, Comment Below, and Stay Connected with Cisco Secure on social!
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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.
We’d love to hear what you think. Ask a Question, Comment Below, and Stay Connected with Cisco Secure on social!
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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.
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