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Using AI/ML Analytics and 360簞 Profiling to address todays emerging threats

By
Director, Cyber & Engineering
and
Director, Law Enforcement Programs

To be effective in todays ever-evolving landscape, insider threat solutions must be able to catch and resolve threats faster, adapt to changing scenarios, and quickly scale. 躂圖AV experts discuss how pairing artificial intelligence and machine learning (AI/ML) solutions with new approaches to insider threat analysis can help organizations better understand their workforce and mitigate insider threats.

The Keys To Effective Insider Threat Mitigation

AI/ML

Process and analyze
vast amounts of
employee data

+

360簞 Profile

Gain in-depth insight into
employee behavior beyond
traditional analysis

=

A Proactive Insider Threat Solution泭

Intervene with individuals
before they become
insider threats

Process, Analyze, and Scale with AI/ML

From deliberate espionage to accidental data leaks, insider threats can cause irreparable damage to an organization. But traditional insider threat solutions are generally reactive rather than proactive. By the time an insider threat is discovered, the damage has already been done.泭

Risk management solutions tend to focus on user activity monitoring (UAM), user and entity behavior analytics (UEBA), and data loss prevention (DLP). While these approaches allow us to understand what has happened and how, they typically fall short of creating predictive analysis. AI/ML solutions enable us to process and analyze vast amounts of data points, making them useful at identifying anomalies and patterns and enabling organizations to discover early indicators of malicious actions. To maximize the analytic power of AI/ML within the context of insider threat, organizations also need a deep understanding of employee motivations. That insight begins with 360簞 profiling.

Stop Threats Before They Occur with 360簞 Profiling

Gathering a baseline of positive and negative behaviors is part of what we call the 360簞 profilea holistic view of people that helps create a deeper understanding of employee motivations. By combining 360簞 profiling with the advanced analytical abilities of AI/ML, organizations can build risk profiles and implement countermeasure campaigns to deter potential attacks before they happen.

What makes an employee tick? What makes someone walk into work and become a threat? Current insider threat analysis tends to focus only on negative behaviors individuals exhibit. But individuals behaviors are influenced by both positive and negative emotions, as well as environments, meaning even balanced individuals can present a threat under the right circumstances. By understanding both the positive and negative behaviors of team members, organizations can shorten insider threat investigation time, reduce false positives, and focus on higher priority threats.

Let’s say an organization has insight into an employees positive drivers and motivations. The organization can take proactive actions to improve that person’s mood, making the employee more productive and less likely to be negatively impacted by an action, event, or situation in the workplace. As a result, the overall risk of that person becoming a malicious threat is minimized, reducing the organizations threat level.

Learn how your organization can mitigate threats to its assets, resources, and information.

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Transform Your Insider Threat Platform

Organizations seeking to improve the effectiveness of their insider threat programs can do so without a large financial investment in tools and technology; instead, they should re-envision an AI/ML-driven analytical approach that incorporates a 360簞 view of peoples positive and negative behaviors.

At 躂圖AV, we work with organizations across the commercial and federal enterprise to develop analytical models that enable analysts to understand the state of their workforce, examine the conditions surrounding actual threats, and proactively intervene with an individual before they become an insider threat.

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