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AI poised to solve decades-old insider risk problem in cybersecurity

Artificial intelligence is poised to revolutionize the cybersecurity industry's long-standing struggle with insider risk. Traditional methods like Data Loss Prevention (DLP) and User and Entity Behavior Analytics (UEBA) have proven insufficient due to their static policies and imprecise anomaly detection, respectively. AI offers a scalable solution by applying reasoning to human behavior and integrating telemetry from various sources, moving beyond policy-centric approaches to a more contextual understanding of risk. AI

IMPACT AI's application in cybersecurity could significantly reduce data breaches and enhance organizational security by providing more nuanced risk detection.

RANK_REASON The article discusses the potential impact of AI on cybersecurity practices, framing it as a commentary on industry challenges and solutions.

Read on Forbes — Innovation →

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AI poised to solve decades-old insider risk problem in cybersecurity

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Aviv Nahum, Forbes Councils Member ·

    Insider Risk Has Stumped The Cybersecurity Industry For Decades—AI Is Changing The Game

    For the first time in history, we have access to the right technology to tackle the insider risk problem.