Exabeam Launches AI Agent Behavior Analytics to Detect and Investigate Autonomous Threats in Enterprise Security

[John Brown]

Exabeam launches AI agent behavior analytics as part of its latest security operations enhancements, extending behavioral analytics and threat detection to monitor autonomous AI activity across enterprise environments giving security teams visibility into emerging risks created by the rapid adoption of AI agents acting inside corporate systems.

The new capability places AI agent behavior analytics at the heart of how security operations teams detect, investigate and respond to anomalous activities by autonomous agents addressing gaps left by traditional SIEM and XDR tools that were designed primarily for human user activity.

Addressing the New AI-Driven Threat Surface​

As organizations increasingly deploy AI agents from automated assistants to custom workflows these digital actors are accessing sensitive systems and data in ways that can mimic insider threats, introduce policy violations or expose risks without clear human oversight. Legacy tools often lack the context to identify when agents deviate from normal patterns. Exabeam's behavior-centric approach builds on its proven User and Entity Behavior Analytics (UEBA) foundation and extends it to AI agents, allowing teams to automatically identify suspicious deviations in activity that may indicate misuse, compromise or malicious intent.

By analyzing telemetry from agent interactions and modeling expected behavior, the platform helps surface early indicators of risk such as unusual access volumes, off-profile system exploration or unexpected data movement that could signal emerging threats.

Unified Investigations and Security Posture Visibility​

Beyond detection, the new capability unifies investigations of AI agent activity within a single timeline-driven interface, empowering analyzes to track events, assess context and prioritize responses more efficiently. The release also delivers measurable AI security posture insights and maturity tracking, enabling security leaders to understand how well their organization governs and monitors AI usage over time.

This centralized visibility helps teams not only see when an AI agent deviates from its expected mission but also follow its activity through investigation workflows, facilitating rapid response and continuous improvement of defenses as agent adoption expands.

Why AI Agent Analytics Matters​

Industry experts have noted that AI agents are creating a new class of insider risks with autonomous systems potentially accessing sensitive information, overriding policies or acting outside expected boundaries. Traditional security solutions often lack the capability to baseline agent behavior or distinguish between legitimate automation and risky deviations. Exabeam's expansion into AI agent behavior analytics aims to fill this critical gap by bringing behavior-based detection, investigation and posture assessment into a unified security operations framework.

By combining behavioral analytics, centralized investigation and security posture visibility, the latest platform release helps organizations confidently accelerate their use of AI while maintaining control, integrity and trust across their digital environments.

Outlook for Security Operations​

As AI continues to reshape enterprise workflows and security landscapes, tools that can monitor, model and respond to agent-driven activity are becoming essential components of modern SOC strategies. Exabeam's launch of agent behavior analytics signals an evolution in security operations, one where autonomous digital actors are treated as first-class entities to be observed and govern alongside human users.

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