Exabeam Expands Security Platform to Tackle Risks from Autonomous AI Agents

As enterprises increasingly deploy autonomous AI agents across their operations, cybersecurity company Exabeam has unveiled new capabilities designed to help security teams monitor, detect and respond to AI-related threats without slowing innovation.

The latest update expands Exabeam’s Agent Behavior Analytics (ABA), Outcomes Navigator, Exabeam Nova, Threat Center and Attack Surface Insights, providing organizations with greater visibility into how AI agents interact with systems, users and sensitive data.

Unlike traditional applications, AI agents can access systems, invoke tools and make decisions using legitimate credentials, making malicious or risky activity difficult to detect through conventional security methods. Exabeam addresses this challenge with its Behavior Intelligence approach, which combines behavioural analytics, AI-driven investigations and automated threat detection.

“Organizations are rapidly moving from AI experimentation to autonomous AI agents operating across the enterprise,” said Pete Harteveld, CEO of Exabeam. “Security teams need visibility not only into human activity, but into how agents behave, interact and make decisions.”

Among the key enhancements is a significant expansion of AI threat detection. Exabeam has doubled its AI-focused behavioural detections to 90, enabling security teams to identify suspicious prompt activity, unauthorized autonomous agents, abnormal AI usage patterns, shadow AI deployments, configuration changes and emerging “Denial of Wallet” attacks that abuse AI services to generate excessive costs.

The platform also broadens support for leading AI platforms, adding Anthropic Claude alongside OpenAI ChatGPT, Google Gemini, Microsoft Copilot and GitHub Copilot. This gives organizations a clearer picture of which AI tools are being used across the enterprise and how they are being adopted.

Exabeam has also strengthened its alignment with the OWASP Top 10 for Agentic AI, allowing security teams to assess how well their existing detections cover emerging AI risks and identify security gaps.

Other improvements include AI-powered rule creation using natural language, faster threat investigations through automated case correlation, phishing email ingestion, improved attack surface monitoring, expanded cloud data collection and enhanced reporting dashboards.

In addition, Exabeam has launched Observra, a new open-source telemetry library that captures and standardizes activity from AI agents across multiple frameworks, making it easier to feed security-ready data into existing security operations platforms.

The company also highlighted Praxen, its previously announced open-source project for Agent Behavior Verification (ABV), which helps organizations ensure AI agents are properly configured and governed before deployment.

Together, Observra, Praxen and Exabeam’s Behavior Intelligence platform provide organizations with a comprehensive framework for verifying, monitoring and securing AI agents throughout their lifecycle as enterprise AI adoption continues to accelerate.

//Staff writer