Exabeam, a provider of behavior intelligence solutions for modern enterprise ecosystems, has unveiled a new suite of security capabilities designed to safeguard the rapidly growing agentic enterprise. The platform update enhances threat detection, response, and risk mitigation across autonomous workflows, AI agents, and human-to-agent interactions.
The update incorporates significant expansions to Exabeam Agent Behavior Analytics (ABA), Outcomes Navigator, Exabeam Nova, Threat Center, and Attack Surface Insights. Additionally, it streamlines search and data collection protocols. These components help enterprise Security Operations Centers (SOCs) to safely incorporate AI systems into their organization without slowing down operations or requiring a complete rebuild of their cybersecurity framework.
This is due to the fact that AI agents always operate under the legitimate corporate credentials, authorized applications, and normal user permissions in order to interact with the system and work with the data. Exabeam tackles this challenge via its comprehensive Behavior Intelligence framework a unified security operations model that pairs precise behavioral detection with AI-assisted digital investigations, workflow automation, and structured, outcome-based evaluations.
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“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. 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.”
“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,” said Andrea Licciardi, Senior Cybersecurity Manager, MAIRE and Founder of CISOs4AI. “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.”
The latest updates to the New-Scale Security Operations Platform focus on several critical operational domains:
- Wider Behavioral Detections Coverage: This launch has added a total of 45 new behavioral detections via AI/agents, which have doubled the number of detections to 90 behavioral detections. These behavioral detections target any form of abnormal behaviors, such as prompt manipulation, calling of tools without authorization, use of shadow AI, malicious configurations changes, “denial of wallet” threats, and abnormal consumption.
- Visibility into Enterprise AI Platform: With the launch of Anthropic Claude along with other existing platforms including OpenAI ChatGPT, Google Gemini, Microsoft Copilot, and GitHub Copilot, security professionals will have visibility on the kind of AI software being used across the enterprise.
- OWASP-Aligned Security Mapping: The Exabeam Outcomes Navigator now features direct alignment with the OWASP Top 10 for Agentic AI. This structural alignment assists organizations in verifying how current analytics map to emerging AI liabilities, revealing hidden gaps and prescribing active content strategies to reinforce lines of defense.
- Streamlined Rules Engineering and Investigation: Utilizing the Exabeam Nova Rules Creator, engineers can now use natural language commands to author or adapt correlation and New-Scale Analytics rules, as well as translate standard Sigma rules into platform-native logic. In addition, an early-access feature titled Exabeam Nova Related Cases uses algorithmic context to link separate incidents sharing overlapping entities, such as host IDs or IP addresses, reducing manual triage time.
- Core SOC Enhancements: The update introduces direct ingest channels for phishing emails to automate attachment and message parsing, alongside backend updates to Attack Surface Insights regarding context freshness and identity pairing. New Cloud Collectors, custom REST API inputs, and biweekly automated dashboard reporting have also been integrated to improve visibility and ease compliance tasks.
Launching Observra: An Open Source Solution for Agent Telemetry
Alongside the platform release, Exabeam has introduced Observra, an independent open-source project and library tailored for software developers, security analysts, and platform engineers. Observra establishes a standardized telemetry layer across open-agent frameworks, recording critical agent behaviors and normalizing them into clean, actionable events. These streams are enriched with specific threat, cost, and redaction signals before being routed to a designated security information and event management (SIEM) system.
This release follows the company’s recent open-source launch of Praxen, which focuses on Agent Behavior Verification (ABV) to confirm proper permissions before code deployment. Combined with Observra’s continuous runtime observation and Exabeam ABA’s underlying intelligence engine, the combined innovations offer an end-to-end framework to verify, monitor, and defend AI-driven assets.
“AI agents introduce a new security challenge because organizations need confidence both before and after deployment,” said Steve Wilson, Chief AI Officer at Exabeam and Co-Founder and Co-Chair of the OWASP Gen AI Security Project. “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.”
In addition to that, the firm has increased the scope of its LogRhythm SIEM ecosystem by providing direct integrations with Microsoft products, cloud providers, identity governance platforms, and email systems.
