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Forty-eight percent of security leaders now rank AI agents, specifically those operating with excessive, compromised, or unintended access, as their single greatest insider threat, outranking external attackers, compromised employees, and malicious insiders combined. That finding comes from a 600-person global survey of IT security and finance decision-makers published by Exabeam in a report called The Agentic Insider. The sharpest operational problem identified: 27% of respondents say a lack of behavioral context and event correlation is the biggest hole in their current monitoring strategy.
What this means for your business
The threat profile that defined insider risk programs for a decade, the disgruntled employee, the compromised contractor, is being displaced by something that holds legitimate credentials, operates continuously, and generates activity logs that look routine until they don’t. Whether this story is about you depends on one question: how many AI agents in your environment have standing access to enterprise systems, and who last audited what they’re actually doing with it? Organizations still mapping agent activity through general SIEM coverage, rather than behavioral baselining built for non-human identities, are measuring the wrong thing.
The behavioral context gap flagged by 27% of respondents is the real exposure here, and it’s structural, not a tuning problem. AI agents, by design, hold legitimate operational credentials to move through enterprise systems. That legitimacy is exactly what makes anomalous activity hard to detect with rules written for human behavior patterns. Traditional insider threat monitoring assumes a human pace, a human motive, and a human error signature. An agent executing thousands of authorized-looking actions per hour produces a signal-to-noise problem that existing SIEM configurations, built for human-scale activity, weren’t designed to resolve.
The 55% of security leaders who admit to delaying or scaling back initiatives because they can’t translate cyber risk into financial terms CFOs will approve reveals something worth watching as a leading indicator. Exabeam, whose business depends on security teams getting budget for detection and response tooling, has obvious reasons to frame the finance alignment gap as urgent, but the specific friction described, security leaders lacking the vocabulary to quantify agent-related risk in dollar terms, points to a real governance vacuum that will widen as agent deployments accelerate. The CISO who figures out how to model agent-access risk as expected financial loss, not threat category, is the one who keeps the program funded through the next budget cycle.
Based on reporting from AI Agents Emerge as Top Enterprise Insider Risk Priority — Security Today, originally published 2026-09-21 18:10:00.
