Exabeam, a global leader in intelligence and automation for security operations, has announced the release of what it describes as the industry’s first connected system of AI-driven security workflows addressing the risks associated with AI usage and AI agent activity. The launch expands Exabeam’s market-leading user and entity behavior analytics (UEBA), combining AI agent behavior analytics, unified timeline-driven investigation of AI activity, and visibility into AI agent security posture within a single system. The company said the capabilities are designed to help organizations better understand AI activity while accelerating safe AI adoption.
According to Exabeam, organizations are already encountering situations in which AI agents share sensitive data, bypass internal policies, and execute unsanctioned changes. In many cases, enterprises lack visibility into who authorized these actions or the reasons behind them. To address this gap, Exabeam introduced the industry-first UEBA in September 2025 to detect AI agent behavior through its integration with what is now Google Gemini Enterprise. That introduction enabled organizations to detect, investigate, and respond to AI agent activity for the first time.
With the current release, Exabeam has repositioned AI agent behavior analytics as the focal point of how security teams identify and investigate AI-related activity. The system consolidates AI investigations into a unified environment while strengthening organizations’ ability to evaluate their security posture related to AI usage and agent activity. These capabilities are supported by maturity tracking, targeted recommendations, and expanded data and analytics designed to more accurately model emerging agent behaviors. Exabeam said the combined approach provides security leaders with a measurable framework to understand AI activity, accelerate investigations, and continuously improve defenses as agent adoption increases.
“Securing the use of AI and AI agent behavior requires more than brittle guardrails; it requires understanding what normal behavior looks like for agents and having the ability to detect risky deviations,” said Steve Wilson, Chief AI and Product Officer at Exabeam. “Exabeam is the first to apply UEBA to AI agents, and this release further extends that agent behavior analytics leadership. These capabilities give security teams the behavioral insight needed to identify risk early, investigate AI agent activity quickly, and continuously strengthen resilience as AI usage and agents become integral to enterprise workflows.”
Pete Harteveld, CEO of Exabeam, said organizations need stronger governance as AI agents become more deeply embedded in enterprise operations. “AI agents have the potential to radically transform how businesses operate and serve their customers, but only if they can be governed responsibly,” he said. “Executives need clear insight into AI agent behavior and an understanding of whether their security posture is strong enough to support safe adoption. These new capabilities from Exabeam provide that insight and give organizations a path to continuously improve, ensuring we protect our customers, their customers, and the broader ecosystem from emerging AI-driven threats.”
End-user organizations are already seeing value in connected visibility for AI agent activity, according to Joep Kremer, Business Unit Director at ilionx. “As AI adoption accelerates, one of our greatest priorities is understanding and managing agent behavior. The new connected capabilities from Exabeam provide the ability to see when an AI agent deviates from expected patterns, follow its activity through a unified investigation, and continuously improve our defenses with posture insights. This level of connected visibility and governance for AI agent activity is extremely valuable for ourselves and our end customers, and I look forward to seeing Exabeam continue to expand upon these capabilities” – Joep Kremer, Business Unit Director at ilionx.
The release reflects a growing industry view that traditional security tools built for static users and devices are not sufficient to manage AI’s dynamic, decision-making entities. Analysts expect AI agent oversight to become a core security category by 2026, alongside identity, cloud, and data protection.
By integrating behavioral analytics, centralized investigation, and AI security posture visibility, Exabeam is positioning itself as an early mover in AI agent behavior analytics, an area expected to influence how enterprises protect their digital workforces in the coming years.