At Google Cloud’s Security Innovation Forum, Exabeam, a global leader in security operations powered by intelligence and automation, unveiled a major advancement to its New-Scale Security Operations Platform. The company announced the integration of Google Agentspace and Google Cloud’s Model Armor telemetry, enabling security teams to monitor, detect, and respond to threats emerging from AI agents acting as digital insiders.

This new capability offers organizations greater visibility into autonomous agent behavior, allowing them to track intent, detect anomalies, and quickly identify signs of compromise.

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Exabeam’s recent research, “From Human to Hybrid: How AI and the Analytics Gap are Fueling Insider Risk”, underscores the urgency of this development. The study found that 93% of organizations worldwide have either experienced or expect a surge in AI-driven insider threats, with 64% viewing insiders as a bigger risk than external attackers. As AI agents increasingly access sensitive data, execute tasks, and make independent decisions, they introduce a new category of insider risk: digital actors that fall outside traditional monitoring approaches.

Traditionally, insider threats have been classified as malicious, negligent, or compromised. Now, AI agents add further risk vectors — malfunctioning, misaligned, or even subverted behavior. Standard SIEM and XDR solutions lacking behavioral baselining struggle to detect when these agents go rogue.

Leveraging its expertise in machine learning and behavioral analytics, Exabeam has extended its proven insider threat detection to AI agents. By integrating Google’s telemetry capabilities, the company is redefining how behavioral analytics can protect both human and AI-driven activity.

“This is the next evolution of our leadership in insider threat detection and behavioral analytics,” said Steve Wilson, Chief AI and Product Officer at Exabeam. “Security teams don’t need more tools — they need deeper insight into human and AI agent behavior through platforms they already rely on. We’re delivering the clarity and context they need to secure this new class of insider threats.”

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Central to this innovation is Exabeam Nova, the intelligence layer within the platform. Nova analyzes the intent and execution patterns of AI agents in real time, offering explainable and prioritized threat insights. This allows analysts to move beyond surface alerts to understand whether agent actions represent valid automation or potential misuse.

“AI agents are transforming business operations, and security must evolve at the same pace,” added Chris O’Malley, CEO of Exabeam. “By expanding our behavioral analytics to cover AI agents, we’re once again leading the way in insider threat detection, giving organizations the visibility and control they need in an AI-driven world.”

Vineet Bhan, Director of Security and Identity Partnerships at Google Cloud, also emphasized the collaboration:

“As companies embed AI into core processes, they face new security challenges. Our partnership with Exabeam ensures customers gain advanced tools to safeguard data, maintain oversight, and innovate with confidence.”

With this integration, Exabeam sets a new industry benchmark by unifying visibility across human and AI activity. The platform empowers security operations teams to detect, assess, and respond to insider threats of every kind — ensuring enterprises can embrace AI innovation while preserving trust, integrity, and resilience.

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