Topic

Security Governance

Security governance refers to the frameworks, policies, and oversight mechanisms that organizations establish to protect their AI systems, data, and infrastructure from threats and misuse. It encompasses risk assessment, access controls, incident response protocols, and compliance with security standards relevant to AI deployments. For enterprises, robust security governance is critical to preventing data breaches, ensuring model integrity, and maintaining stakeholder trust while meeting regulatory requirements around AI system protection.

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ResearchGlobal2026-07-02

OWASP GenAI Maps the Agentic AI Security Gap: Version 2.01 Identifies Observability and Control Failures Compliance Teams Must Address Now

OWASP GenAI has published version 2.01 of its State of Agentic AI Security and Governance report, providing an updated assessment of the vulnerability landscape for autonomous AI systems. The report identifies critical governance gaps in observability, agent control boundaries, and trust hierarchies that affect organizations deploying agentic AI in production. It is intended as a benchmarking resource for security and compliance teams evaluating the maturity of their agentic AI programs.

OWASP agentic AI multi-agent systems security governance observability prompt injection autonomous AI control failures