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Overview
Exabeam is a security company founded in 2013 that pioneered user and entity behaviour analytics for threat detection. Its platform baselines normal activity for every account and device, then scores deviations and assembles them into timelines that analysts can investigate quickly. Following its merger with LogRhythm it offers a combined security information and event management product line.
News
The Autonomous Insider: Rethinking Insider Risk for the Agentic Era
Insider threat models have historically had one thing in common: somewhere in the chain, there is a person. That person may be malicious or negligent. Their credentials may have been compromised. Their actions may be intentional or accidental. But there i
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Report
What CRN's 2026 Annual Report Card Says About the Next Phase of AI Security
AI security is entering a more demanding phase. The market is moving beyond who can add AI to a product and toward who can make it useful in the real world - across existing security environments, partner ecosystems, and day-to-day operations. CRN's 2026
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Report
Features Don't Win Budget Conversations. Operational Evidence Does.
CISOs can strengthen security budget conversations by replacing feature comparisons with measurable operational evidence. Establish the current burden, show how an investment changes security operations, and connect those improvements to financial impact.
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Report
Why Autonomy Breaks Traditional Security Operations Workflows
Autonomy breaks traditional security operations workflows because AI agents can act continuously and independently inside approved environments. When activity is initiated and executed without a human in the loop, event-by-event review and short correlati
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How Behavioral Analytics Closes the Insider Threat Dwell Time Gap
Insider threats often remain hidden during early activity because individual actions appear normal in isolation. Behavioral analytics closes the dwell time gap by establishing baselines for normal behavior, evaluating activity over time, and identifying m
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