Exabeam Extends Proven Insider Threat Detection to AI Agents with Google Cloud

BROOMFIELD, Colo. & FOSTER CITY, Calif. – September 9, 2025 – At Google Cloud’s pioneering Security Innovation Forum, Exabeam, a global leader in intelligence and automation that powers security operations, today announced the integration of Google Agentspace and Google Cloud’s Model Armor telemetry into the New-Scale Security Operations Platform. This integration gives security teams the ability to monitor, detect, and respond to threats from AI agents acting as digital insiders. This visibility gives organizations insight into the behavior of autonomous agents to reveal intent, spot drift, and quickly identify compromise.

Recent findings in the “From Human to Hybrid: How AI and the Analytics Gap are Fueling Insider Risk” study from Exabeam reveal that a vast majority (93%) of organizations worldwide have either experienced or anticipate a rise in insider threats driven by AI, and 64% rank insiders as a higher concern than external threat actors. As AI agents perform tasks on behalf of users, access sensitive data, and make independent decisions, they introduce a new class of insider risk: digital actors operating beyond the scope of traditional monitoring. Just as insider threats have traditionally been classified as malicious, negligent, and compromised, AI agents now bring their own risks: malfunctioning, misaligned, or outright subverted.

SIEM and XDR solutions that are unable to baseline and learn normal behavior lack the intelligence necessary to identify when agents go rogue. As a pioneer in machine learning and behavioral analytics, Exabeam addresses this critical gap by extending its proven capabilities to monitor both human and

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