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Before yesterdaySecurity – Cisco Blog

Privacy’s impact continues to grow, but more remains to be done

By Robert Waitman

As part of Cisco’s recognition of International Data Privacy Day, today we released the Cisco 2023 Data Privacy Benchmark Study, our sixth annual review of key privacy issues and their impact on business. Drawing on responses from more than 3100 organizations in 26 geographies, the findings show that organizations continue to prioritize and get attractive returns from their privacy investments, while integrating privacy into many of their most important processes, including sales motions, management metrics, and employee responsibilities.

Privacy Investment is Very Attractive

Nearly all organizations have recognized the importance of privacy to their business. Ninety-four percent (94%) of respondents said their customers wouldn’t buy from them if their data was not properly protected, and 95% said privacy has become a business imperative.

Even in a difficult economic environment, the average privacy spend in 2022 was $2.7 Million, up 125% from 3 years ago. Estimated benefits from privacy rose to $3.4 Million with significant gains across all organization sizes. The average organization is getting benefits of 1.8 times spending, meaning they get $180 of benefit for each $100 invested in privacy. Thirty-six percent (36%) of organizations are getting returns at least twice their spending with many getting returns upwards of 3 or 5 times.

Privacy Further Integrated into Organizational Skills and Responsibilities

More organizations are recognizing that everyone across the organization plays a vital role in protecting personal data. Ninety-five percent (95%) of survey respondents said that “all of their employees” need to know how to protect data privacy. Among the security professionals who completed our survey, one-third (33%) included data privacy in their top three areas of responsibility.

Another important indication of privacy’s importance to the organization is the use of privacy metrics. Ninety-eight percent (98%) of organizations said they are reporting one or more privacy-related metrics to the Board of Directors. The average number of privacy metrics was 3.1, which is up from 2.6 in last year’s survey. The most-reported metrics include the status of any data breaches, impact assessments, and incident response.

Privacy legislation continues to be very well-received around the world. Seventy-nine percent (79%) of all corporate respondents said privacy laws have had a positive impact, and only 6% indicated that the laws have had a negative impact.

Organizations Not Fully Aligned with Consumers Regarding Data and Building Trust

Ninety-six percent (96%) of organizations said they have an ethical obligation to treat data properly. However, when it comes to earning and building customer trust, their priorities are not fully consistent with those of consumers. Transparency – providing easily accessible and clear information about how their data is being used – was the top priority (39%) for respondents in the consumer survey, well ahead of not selling personal information or complying with privacy laws. Yet, when asked what builds trust for consumers, organizations in the Benchmark Survey selected compliance over transparency. It seems consumers consider legal compliance to be a “given” with transparency more of a differentiator.

This disconnect can also be seen when it comes to the use of Artificial Intelligence (AI). Ninety-six percent (96%) of organizations in our survey believe they have processes already in place to meet the responsible and ethical standards that customers expect. Yet, the majority of consumers don’t see it that way. As reported in our 2022 Consumer Privacy Survey, 65% already have lost trust in organizations over their AI practices. Fortunately, organizations may be starting to get the message that they aren’t doing enough. Ninety-two percent (92%) of respondents said that when it comes to AI applications, their organization needs to be doing more to reassure customers that their data is only being used for intended and legitimate purposes.

Global Providers Viewed as Safer than Local Providers

Many governments and organizations are putting in place data localization requirements, which forces data to be kept within a country or region. The vast majority (88%) of survey respondents believe that their data would be inherently safer if it is only stored locally. Remarkably, 90% also said that a global provider, operating at scale, can better protect the data compared to local providers. When viewing these two statements together, it seems that while organizations would ideally like to keep their data local, they still prefer and trust a global provider over a local provider. Of course, if they can get both — a local instance set up by a global provider — they would presumably like that even better.

Recommendations

This research suggests that organizations should continue to build and apply privacy capabilities into their operations and solutions, particularly among engineering, IT and security professionals, and those who work with personal data. Transparency is particularly important to customers, and organizations need to do more to reassure customers on how their data is being used, especially when applying and using AI and automated decision-making. Finally, organizations should consider the consequences of data localization requirements and recognize that these add cost and may degrade functionality, privacy, and security.

To learn more, check out the Cisco 2023 Data Privacy Benchmark Study, Infographic, and our Principles for Responsible AI.

Also, the new Cisco 2022 Purpose Report (Power section) and the Cisco ESG Reporting Hub (Integrity and Trust section) to see how trustworthiness, transparency, and accountability are key to Cisco’s approach to security, privacy, and trust.

All this and more can be found on the Cisco Trust Center.


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Realizing the Value of Privacy Investment

By Harvey Jang

It’s been my pleasure to work alongside the Centre for Information Policy Leadership (CIPL) for over a decade to advocate for privacy to be respected as a fundamental human right and managed by organizations as a business imperative. CIPL works with industry leaders, regulators, and policymakers to deliver leading practices and solutions for privacy and responsible data use around the world.

Our organizations share the belief that privacy is key to trust and provides a critical competitive advantage for those who get it right. As privacy professionals, we live and breathe the importance of privacy every day and understand its value. We must help business leaders and other key stakeholders recognize and realize data privacy’s true worth and invest appropriately — beyond just meeting legal or compliance requirements.

We’re excited today to share this new, jointly-published research report Business Benefits of Investing in Data Privacy Management Programs. This report offers insights into the material business benefits that organizations are realizing from the time, monetary, and resource investments they have applied to building their Data Privacy Management Programs (DPMPs).

Here are some of the key findings:

Customers want accountability. While organizations are expected to meet their legal, compliance, and data security requirements, customers also demand organizations to be responsible stewards of their personal data. DPMPs not only enable organizations to gain a competitive edge, they empower them to earn and grow confidence and trust in the business.

Significant benefits from investing in DPMPs. Risk mitigation and compliance benefits, like avoiding regulatory scrutiny and fines, minimizing breaches, and evading damage to reputation, are among the most substantial benefits experienced by organizations that implement a DPMP. Other tangible benefits include greater agility, operational efficiency, and making the organization more attractive to investors.

Strong, attractive returns from DPMPs. More than half of organizations surveyed experienced at least $1 million in benefit from investing in privacy over the past year, with 28% realizing over $10 million in benefit.

Widespread Use of Privacy Maturity Models. Most organizations are using some form of a privacy maturity model to show accountability, including the CIPL Accountability Framework, ISO standards, Generally Accepted Privacy Principles, and the NIST Privacy Framework, among others. And CIPL members had an average score of 4.13 out of 5 with respect to implementing the seven elements of organizational accountability as described in the report.

There is considerable interest in further understanding the value DPMPs bring to their organization. Discussions about privacy and how DPMPs positively impact organizations will continue to be an increasing area of focus for corporate leadership, including the C-suite and at the Board level.

These findings offer valuable information and perspective for those building and operationalizing privacy. We’ll continue to research and share other qualitative and quantitative evidence that highlights privacy’s growing priority and value for organizations and the individuals they serve.

Check out this report Business Benefits of Investing in Data Privacy Management Programs and more related privacy research on consumer and organizational perspectives on the Cisco Trust Center.


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Cisco Joins the Launch of Amazon Security Lake

By Jessica Bair

Cisco supports the Open Cybersecurity Schema Framework and is a launch partner of AWS Security Lake

The Cisco Secure Technical Alliance supports the open ecosystem and AWS is a valued technology alliance partner, with integrations across the Cisco Secure portfolio, including SecureX, Secure Firewall, Secure Cloud Analytics, Duo, Umbrella, Web Security Appliance, Secure Workload, Secure Endpoint, Identity Services Engine, and more.

Cisco Secure and AWS Security Lake

We are proud to be a launch partner of AWS Security Lake, which allows customers to build a security data lake from integrated cloud and on-premises data sources as well as from their private applications. With support for the Open Cybersecurity Schema Framework (OCSF) standard, Security Lake reduces the complexity and costs for customers to make their security solutions data accessible to address a variety of security use cases such as threat detection, investigation, and incident response. Security Lake helps organizations aggregate, manage, and derive value from log and event data in the cloud and on-premises to give security teams greater visibility across their organizations.

With Security Lake, customers can use the security and analytics solutions of their choice to simply query that data in place or ingest the OCSF-compliant data to address further use cases. Security Lake helps customers optimize security log data retention by optimizing the partitioning of data to improve performance and reduce costs. Now, analysts and engineers can easily build and use a centralized security data lake to improve the protection of workloads, applications, and data.

Cisco Secure Firewall

Cisco Secure Firewall serves as an organization’s centralized source of security information. It uses advanced threat detection to flag and act on malicious ingress, egress, and east-west traffic while its logging capabilities store information on events, threats, and anomalies. By integrating Secure Firewall with AWS Security Lake, through Secure Firewall Management Center, organizations will be able to store firewall logs in a structured and scalable manner.

eNcore Client OCSF Implementation

The eNcore client provides a way to tap into message-oriented protocol to stream events and host profile information from the Cisco Secure Firewall Management Center. The eNcore client can request event and host profile data from a Management Center, and intrusion event data only from a managed device. The eNcore application initiates the data stream by submitting request messages, which specify the data to be sent, and then controls the message flow from the Management Center or managed device after streaming begins.

These messages are mapped to OCSF Network Activity events using a series of transformations embedded in the eNcore code base, acting as both author and mapper personas in the OCSF schema workflow. Once validated with an internal OCSF schema the messages are then written to two sources, first a local JSON formatted file in a configurable directory path, and second compressed parquet files partitioned by event hour in the S3 Amazon Security Lake source bucket. The S3 directories contain the formatted log are crawled hourly and the results are stored in an AWS Security Lake database. From there you can get a visual of the schema definitions extracted by the AWS Glue Crawler, identify fieldnames, data types, and other metadata associated with your network activity events. Event logs can also be queried using Amazon Athena to visualize log data.

Get Started

To utilize the eNcore client with AWS Security Lake, first go to the Cisco public GitHub repository for Firepower eNcore, OCSF branch.

Download and run the cloud formation script eNcoreCloudFormation.yaml.

The Cloud Formation script will prompt for additional fields needed in the creation process, they are as follows:

Cidr Block:  IP Address range for the provisioned client, defaults to the range shown below

Instance Type:  The ec2 instance size, defaults to t2.medium

KeyName  A pem key file that will permit access to the instance

AmazonSecurityLakeBucketForCiscoURI: The S3 location of your Data Lake S3 container.

FMC IP: IP or Domain Name of the Cisco Secure Firewall Mangement Portal

After the Cloud Formation setup is complete it can take anywhere from 3-5 minutes to provision resources in your environment, the cloud formation console provides a detailed view of all the resources generated from the cloud formation script as shown below.

Once the ec2 instance for the eNcore client is ready, we need to whitelist the client IP address in our Secure Firewall Server and generate a certificate file for secure endpoint communication.

In the Secure Firewall Dashboard, navigate to Search->eStreamer, to find the allow list of Client IP Addresses that are permitted to receive data, click Add and supply the Client IP Address that was provisioned for our ec2 instance.  You will also be asked to supply a password, click Save to create a secure certificate file for your new ec2 instance.

Download the Secure Certificate you just created, and copy it to the /encore directory in your ec2 instance.

Use CloudShell or SSH from your ec2 instance, navigate to the /encore directory and run the command bash encore.sh test

You will be prompted for the certificate password, once that is entered you should see a Successful Communication message as shown below.

Run the command bash encore.sh foreground

This will begin the data relay and ingestion process. We can then navigate to the S3 Amazon Security Lake bucket we configured earlier, to see OCSF compliant logs formatted in gzip parquet files in a time-based directory structure. Additionally, a local representation of logs is available under /encore/data/* that can be used to validate log file creation.

Amazon Security Lake then runs a crawler task every hour to parse and consume the logs files in the target s3 directory, after which we can view the results in Athena Query.

More information on how to configure and tune the encore eStreamer client can be found on our official website, this includes details on how filter certain event types to focus your data retention policy, and guidelines for performance and other detailed configuration settings. 

Participate in the public preview

You can participate in the AWS Security Lake public preview. For more information, please visit the Product Page and review the User Guide. 

re:Invent 

While you are at AWS re:Invent, go see a demo video of the Security Lake integrations in the Cisco Booth #2411, from November 29 to December 2, 2022, at the Cloud, Network and User Security with Duo demo station.

Learn more about Cisco and AWS on the Cisco Secure Technical Alliance website for AWS.

Acknowledgement

Thank you to Seyed Khadem-Djahaghi, who spend long hours working with the beta to develop this integration and is the primary for developer of eNore.


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Data Transparency and its Impact on Customer Trust

By Robert Waitman

How do organizations earn and build trust when it comes to the personal data that customers share with them? Customers certainly expect these organizations to comply with all privacy laws that are now in place in more than 130 countries. Customers also expect them not to sell personal data without consent and to try to avoid data breaches that could expose personal data. While these actions are necessary, organizations still need to do more when it comes to customer trust. According to our latest research, consumers’ top priority is, in fact, for organizations to be more transparent about how they use personal data.

The Cisco 2022 Consumer Privacy Survey, released today, explores what organizations can do to earn and build trust with customers, the actions individuals are taking to protect their data, the impact of privacy laws around the world, and some of the benefits and costs of Artificial Intelligence (AI) and data localization requirements. The report, our fourth annual look at consumer privacy issues, draws on anonymous responses from 2600 adults in 12 countries.

Here are some highlights from the survey:

  1. Consumers chose ‘data transparency’ as the top thing organizations can do to build trust regarding how personal data is used and protected. At 39%, data transparency was selected almost twice as much as ‘refraining from selling personal information’ (21%) or ‘complying with all privacy laws’ (20%).
  2. More consumers are taking action to protect their personal data. Results showed that 37% have stopped using a company or provider over their data practices, with 24% having exercised their Data Subject Access Rights to inquire about the data companies have about them, and 14% having requested changes or deletions to that data.
  3. When it comes to applying and using AI, consumers are supportive, but very concerned with today’s practices. While 43% say AI can be useful in improving our lives and 54% are even willing to share their anonymized personal data to improve AI products, 60% are concerned about how businesses are using AI today. In fact, 65% say they have already lost trust in organizations due to their AI practices.
  4. Consumers continue to strongly support their nation’s privacy laws, as they want their government to take a leading role in protecting personal privacy. On average, 61% felt these laws are having a positive impact, whereas only 3% believe they are having a negative impact. Awareness of these laws continues to be a challenge as only 43% say they are aware of their country’s privacy laws.
  5. Consumers are evenly split on the value of data localization requirements that add cost to the products and services they buy, with 41% in favor and 41% against. Interestingly, in 9 of the 12 countries surveyed, more respondents were against data localization than in favor.

Check out the associated infographic that provides visual and easily consumable descriptions of the key data.

At Cisco, we believe that privacy is a fundamental human right. Privacy continues to be a high priority for consumers, and organizations need to do their part to protect personal data and build consumer confidence in how this data is being used. Some recommendations for organizations include:

  • Investing in transparency. Show your customers where they can find your company’s privacy policies and tell them in easy-to-understand ways exactly how you use their data (see, for example, Cisco’s in Privacy Data Sheets and Data Maps) as this is critical for earning and building their trust.
  • Helping to ensure your customers are aware of relevant privacy laws and their rights. Individuals who know about these protections are more likely to trust organizations with their personal data and have confidence that their data is protected.
  • Adopting measures to ensure responsible use of data. While misuse of personal data in AI can erode consumer trust, some positive steps to apply and use it responsibly include implementing an AI governance framework, providing transparency on how personal data is used in any AI application, and enabling customers to opt out of the specific application.
  • Evaluating the costs and legal alternatives, if any, to data localization requirements. These requirements may not be worth their cost to many consumers, and it is still unclear if they contribute to greater safety and privacy.

Privacy remains a critical element of trust. Consumers want more transparency and control of their personal data, especially as we continue to see innovations in technology. As we are now in the midst of Cybersecurity Awareness Month in the US and other countries around the world, it’s a great time to learn more and join in activities and discussions that advance cybersecurity.


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