Exabeam has announced Agent Behavior Verification (ABV), a new security practice that enables businesses to determine whether their AI agents are correctly configured, authorized, and governed prior to deployment in production. Since AI agents have developed from mere assistants to full-fledged operational entities that have access to various systems and are capable of performing actions such as using various tools and performing workflow operations, there is an increasing difficulty for companies to ensure that these agents act according to their design specifications. Existing security practices like vulnerability scanning and red teaming are mainly concerned with the runtime evaluation of agents. The framework enables organizations to define an agent’s intended role and verify whether its permissions, controls, integrations, memory, and implementation align with that purpose. To support adoption, Exabeam has launched Praxen, an open-source reference implementation of ABV.
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“Organizations are rapidly moving from AI experimentation to operational deployment,” said Steve Wilson, Chief AI Officer at Exabeam and Founder and Co-Chair of the OWASP Gen AI Security Project. “As agents become digital workers, security teams need more than runtime visibility. They need confidence that agents have the right permissions, the right controls, and the right boundaries before they enter production. Agent Behavior Verification helps answer a fundamental question: will this agent do its job, and only its job? Praxen evaluates something different: whether an agent’s capabilities, permissions, tools, and controls align with the role it was authorized to perform. This addresses one of the most critical risks introduced by highly autonomous agents and establishes a stronger foundation for ongoing governance throughout the agent lifecycle.”