Exabeam, a recognized leader in cybersecurity intelligence and automation, announced the release of what it calls the first connected system of AI-driven security workflows designed specifically to monitor, analyze, investigate, and improve security around AI agents operating within enterprise environments.
The new solution enhances Exabeam’s market-leading User and Entity Behavior Analytics (UEBA) by embedding AI agent behavior analytics, unified investigation capabilities, and AI security posture insight into a single, cohesive system. This breakthrough marks a significant evolution in how organizations secure not just human users and devices, but autonomous AI agents that increasingly act on behalf of employees and systems.
Why This Matters
AI agents software programs that perform tasks autonomously using artificial intelligence are rapidly becoming central to business operations. They perform everything from automated customer engagement and IT self-service to data retrieval, analysis, and decision support. But along with productivity gains comes a new class of cybersecurity risk: AI agents can behave unpredictably, share sensitive data in ways that violate internal policy, or make unsanctioned changes to systems without clear human oversight.
Exabeam’s new system directly confronts these risks by placing AI agent activity under behavioral scrutiny, leveraging advanced analytics to establish what “normal” behavior looks like for each agent and flagging anomalous or potentially harmful deviations. By unifying analysis, investigation, and posture assessment into one platform, security teams gain the context and visibility required to respond rapidly and effectively.
“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 the ability to detect risky deviations,” said Steve Wilson, Chief AI and Product Officer at Exabeam. This is a stark departure from legacy security mechanisms, which often struggle to monitor or interpret the actions of non-human actors within networks.
What the Connected System Offers
The newly announced system centers on three core capabilities:
- AI Agent Behavior Analytics: Applying UEBA principles to quantify and model typical agent activity patterns, enabling rapid detection of anomalous or risky behavior.
- Unified Investigation Workflows: A single timeline-driven interface where security analysts can investigate AI agent actions across diverse systems without switching tools.
- AI Security Posture Insight: Clear metrics, maturity tracking, and recommendations that help organizations assess and improve how well they are managing their AI attack surface.
Executives and security leaders alike stand to benefit from this holistic visibility. As Exabeam’s CEO, Pete Harteveld, noted, “Executives need clear insight into AI agent behaviour and an understanding of whether their security posture is strong enough to support safe adoption.”
Industry voices echo this sentiment. Joep Kremer, Business Unit Director at ilionx, emphasized the value of being able to track when an AI agent deviates from expected activity and follow that activity through a centralized investigation improving defenses continuously.
Also Read: Cisco Unveils Comprehensive AI Security Framework to Tackle Emerging Threats
A New Security Category Emerges
Exabeam’s announcement also highlights a broader shift within cybersecurity: AI agent analytics is becoming its own discipline. Traditional security tools focus on users, devices, applications, or networks but autonomous AI agents represent a fundamentally different class of entity with distinct risk profiles.
Analysts project that oversight of AI agents will become a core security category by 2026, comparable to established domains such as identity security, cloud protection, and data loss prevention.
Exabeam’s findings reflect what its own research has shown regarding AI-enhanced insider threats. It appears that agents unintentionally or intentionally compromising systems through AI-enhanced attacks are now surpassing traditional forms of external attacks being conducted in various enterprises. Organizations with digital workforces consisting of human and AI agents require understanding and control of agent behavior to ensure resilience.
Industry and Business Impact
Cybersecurity Transformation
The launch of AI agent behavior analytics marks a major advancement for security operations centers (SOCs). Current SIEM (Security Information and Event Management) and XDR (Extended Detection and Response) platforms are often limited to static indicators or human-centric patterns. Exabeam’s approach introduces dynamic, behavior-driven monitoring that can adapt as AI usage evolves, enabling faster threat detection, richer context for investigations, and more accurate prioritization of risks. This will likely set a new benchmark for how cybersecurity products evolve in the AI era.
Exabeam’s continued leadership in this domain is reinforced by its repeated recognition as a Leader in Gartner’s SIEM Magic Quadrant, which the company earned for the sixth time in 2025 underscoring its commitment to innovation and operational excellence.
Business Operations and Trust
Businesses also have broader implications for their organizations, as the job does not merely end at their IT team. This is because, as complex tasks are carried out by AI agents, a single unchecked activity can lead to exposure of sensitive information, non-compliance, or changes to key infrastructure. Organizations can leverage agent activity within security using analytics and posture to accelerate their AI initiatives while reducing risk.
The extent of this governance assists in preserving the client trust and is vital for the regulatory mandate related to the transparency of AI a rapidly increasing source of pressure for the sector.
Looking Ahead
The integration of behavioral analytics with AI agent oversight represents a foundational shift in cybersecurity strategy one that acknowledges AI agents as active participants in enterprise environments rather than background tools. With Exabeam’s connected system, security teams now have a scalable framework to detect threats before they materialize, investigate them thoroughly, and continuously strengthen their defenses in an increasingly automated world.
As AI adoption continues to expand across industries, solutions that can manage, secure, and interpret agent behavior will be indispensable and organizations that embrace this new class of security tooling will be better positioned to compete and innovate confidently.
