Optimize Data Loss Prevention

Integrating user and entity behavior analytics (UEBA) directly with data loss prevention (DLP) allows today’s practitioners to massively improve information protection.  Leveraging Bay Dynamics Risk Fabric in conjunction with DLP empowers organizations to accelerate incident triage, rank risky users with correlated incidents, speed policy review and track metrics for stakeholders.

icon-magnify Today’s Most Common DLP Challenges

DLP platforms offer tremendous insight into data security – detecting emerging risks, problematic processes and broken policies to inform related response. At the same time, driven by the volume and complexity of data interactions, DLP systems create massive volumes of alerts, leaving analysts challenged to prioritize investigation. Identifying and remediating material threats while refining policies to support shifting business requirements remains a sizeable hurdle for nearly every organization.

icon-triangle Integrated Analytics that Prioritize Threats

Advanced UEBA capabilities offer the ability to immediately optimize and extend the reach of DLP, enabling identification of user and entity behaviors that represent truly problematic incidents to prioritize investigation and automate remediation steps. Centralized analytics also offer visualization and tracking of key metrics to support larger data security and business initiatives.

Bay Dynamics Risk Fabric was purpose-built to integrate directly with DLP platforms and adjacent security systems to continuously isolate emerging threats and provide the detailed information required to align DLP policies with changing business process.

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User-centric investigation of DLP incidents

WHITE PAPER:  DLP Optimization

Strategic Workflows

icon Triage Incidents
icon Automate Remediation
icon Improve Policies
icon Track Metrics
Integrating UEBA with DLP immediately addresses the issue of alert overload, enabling analysts to see through the data to rapidly prioritize, investigate and respond to emerging security threats.
Bay Dynamics Risk Fabric prioritizes DLP incidents via user-centric analytics, backed by powerful machine learning, to isolate those incidents that represent truly abnormal and problematic behaviors, allowing for immediate action to prevent subsequent data breach incidents.
Once problematic DLP incidents have been targeted, rapidly enacting required steps to mitigate any potential impact is critical, including communication across every involved audience.
Bay Dynamics Risk Fabric automatically generates recommended remediation steps to quickly limit data exposure, along with drag-and drop Action Plan capabilities that allow practitioners to loop in every necessary stakeholder, from security experts to relevant business officials.
Continuous improvement and refinement of DLP policies is another key benefit of DLP Optimization, allowing organizations to better align analysis and enforcement to support the business.
Bay Dynamics Risk Fabric enables significant reduction of the DLP policy review lifecycle, enabling organizations to gain detailed visibility into any ineffective policies that generate high-volume alerts on legitimate business process to adapt policies and focus on truly problematic incidents.
When functioning most effectively, DLP platforms provide critical insight into the availability and handling of protected information to help inform data security practices across the organization.
Bay Dynamics Risk Fabric integrates with DLP and other adjacent security infrastructure, providing “source of truth” dashboards and metrics useful to top-down and operational trending of performance, with specific visualizations tailored to communicate with various audiences.

CASE STUDY: Real-World Success

Learn how a global medical device manufacturer leveraged Risk Fabric to target DLP incident investigation and dramatically shorten the policy review process

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