Exabeam Expands AI Detection Coverage and Launches Observra Open Source Agent Telemetry – The Fast Mode

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Exabeam Expands AI Detection Coverage and Launches Observra Open Source Agent Telemetry – The Fast Mode

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Exabeam, the leader in Behavior Intelligence for the agentic enterprise, announced new capabilities that help security teams detect, investigate, and reduce risk from AI agents, autonomous workflows, and human-to-agent activity across modern enterprise environments.
The product release expands Exabeam Agent Behavior Analytics (ABA), Outcomes Navigator, Exabeam Nova, Threat Center and Attack Surface Insights, as well as search and data collection workflows, to help organizations secure AI adoption without slowing innovation or rebuilding their security operations stack.

AI agents are quickly becoming active participants in the enterprise. They access systems, invoke tools, interact with data, and act on behalf of users at machine speed. Agents often use approved applications, valid credentials, and authorized workflows. As a result, even risky activity can appear legitimate until their behavior is analyzed over time. Exabeam addresses this challenge with Behavior Intelligence: a security operations model that connects behavioral detection, AI-driven investigation, automation, and outcomes-based measurement.
With this release, Exabeam delivers new enhancements to the New-Scale Security Operations Platform across a number of key areas:
SOC Enhancements Improve Speed, Scale, and Resilience:
Open and Extensible Agent Telemetry and Observability
Exabeam also announces Observra, a new open source project and library that gives developers, security, and platform teams a clean telemetry layer for agents. It captures meaningful agent activity across major frameworks, normalizes it into consumable events, enriches it with cost, redaction, deduplication, and risk signals, and routes it to any security operations platform to improve agent behavior insights across multiple open agent frameworks. The Exabeam New-Scale Platform uses the Observra project library to enhance agent observability.
Exabeam recently released Praxen as an open source project to help foster and enable Agent Behavior Verification (ABV) as an agent security best practice. Praxen helps verify that agents are properly configured, authorized, and governed before deployment. Now with open source Observra, organizations can observe agent activity by capturing and normalizing telemetry into security-ready signals. Together with Exabeam Agent Behavior Analytics (ABA), these innovations advance Behavior Intelligence as a comprehensive approach to securing the agentic enterprise, helping organizations verify, observe, analyze, and improve AI agent security across the full lifecycle.
The release also expands LogRhythm SIEM ecosystem coverage with new and enhanced integrations across Microsoft, cloud, identity, email, and security technologies. These additions provide organizations with broader visibility across modern attack surfaces while simplifying data collection and accelerating security operations.
Pete Harteveld, CEO of Exabeam
Security teams need visibility not only into human activity, but into how agents behave, interact, and make decisions. Exabeam is helping customers secure this new reality by bringing together AI visibility, behavioral analytics, and threat detection across human users, AI agents, and the systems they interact with.
Andrea Licciardi, Senior Cybersecurity Manager, MAIRE and Founder of CISOs4AI
We’re seeing more AI tools and agents show up across the business, and one of the biggest challenges is understanding how they’re actually being used. Behavioral analytics and agent observability give us the context we need to spot unusual activity early and investigate it quickly, without slowing down AI adoption.
Steve Wilson, Chief AI Officer at Exabeam and Co-Founder and Co-Chair of the OWASP Gen AI Security Project
AI agents introduce a new security challenge because organizations need confidence both before and after deployment. Organizations must verify that agents are operating within their intended roles, observe how they interact with systems and data, analyze behavior for signs of misuse or compromise, and continuously improve defenses as agents evolve.

Ray Sharma is an Industry Analyst and Editor at The Fast Mode. He has over 15 years of experience in mobile broadband technologies and solutions, conducting research and analysis on various technology segments and producing articles and write-ups on the latest developments within the sector. He is also in charge of social media engagement and industry liaisons.
Follow him on LinkedIn or Facebook. He can be reached at ray.sharma@thefastmode.com
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