OWASP Releases Agentic AI Security Report v2.01
The OWASP GenAI Security Project published 'State of Agentic AI Security and Governance v2.01' on June 1, 2026, updating its July 2025 v1.0 with a year of field evidence, per the OWASP resource page. The report frames securing autonomous, agentic systems as an operational problem and targets developers, security professionals, and decision-makers. It ties risks to live incident data, vendor advisories, and CVEs, and pairs them with a catalog of defensive tools and training resources, per OWASP and coverage by GBHackers. Alongside it, OWASP maintains the Top 10 for Agentic Applications (2026), which names risks including Agent Goal Hijack, Tool Misuse and Exploitation, Agent Identity and Privilege Abuse, Agentic Supply Chain Compromise, Unexpected Code Execution, Memory and Context Poisoning, Insecure Inter-Agent Communication, Cascading Agent Failures, Human-Agent Trust Exploitation, and Rogue Agents.
What happened
The OWASP GenAI Security Project published "State of Agentic AI Security and Governance v2.01" on June 1, 2026, updating the v1.0 edition released in July 2025, per the OWASP resource page. OWASP describes it as a guide for securing and governing autonomous AI systems, aimed at developers, security professionals, and decision-makers. Coverage by GBHackers states that v2.01 incorporates a year of field evidence, links it to deployment architectures, and supplies a catalog of defensive tools and training resources. OWASP also maintains a companion Top 10 for Agentic Applications (2026), which includes Agent Goal Hijack, Tool Misuse and Exploitation, Agent Identity and Privilege Abuse, Agentic Supply Chain Compromise, Unexpected Code Execution, Memory and Context Poisoning, Insecure Inter-Agent Communication, Cascading Agent Failures, Human-Agent Trust Exploitation, and Rogue Agents.
Technical details
Per the OWASP report page and GBHackers, the edition moves beyond hypothetical threat models by tying risks to live incident data, vendor advisories, and existing CVEs. It presents a risk taxonomy specific to agentic applications and catalogs defensive controls, training materials, and mitigation patterns that map to common agentic workflows and tool integrations, with emphasis on governance and supply-chain considerations.
Industry context
For practitioners
Editorial analysis
as autonomous AI prototypes enter production, previously theoretical vectors become operational problems. Reporting from security groups and vendor advisories over the past year has emphasized supply-chain risk, prompt and memory poisoning, and code-execution windows opened by agents that generate or run code. That pattern raises demand for standardized taxonomies so teams can share indicators, advisories, and defensive recipes.
teams running agentic deployments typically focus on least-privilege and tool-access controls; provenance controls for third-party tools and models; validation and sanitization of agent inputs and memory stores; and telemetry plus incident response tuned for multi-agent cascades. Teams using retrieval-augmented generation or persistent embeddings should treat memory and context poisoning and RAG integrity checks as operational priorities in test and staging.
Bottom line
The v2.01 release consolidates a growing set of field incidents into a practical taxonomy and defensive catalog. For teams operating or evaluating agentic systems, it offers a shared vocabulary and an initial playbook to align threat modeling, testing, and response with observed real-world failures.
Key Points
- 1OWASP published State of Agentic AI Security and Governance v2.01, updating the July 2025 v1.0 with a year of field evidence and tying agentic risks to live incidents, advisories, and CVEs.
- 2The accompanying Top 10 for Agentic Applications (2026) spans goal hijack, tool misuse, identity and privilege abuse, supply-chain compromise, code execution, memory and context poisoning, insecure inter-agent communication, cascading failures, trust exploitation, and rogue agents.
- 3For practitioners, the report offers a shared taxonomy and defensive catalog to align threat modeling, tool-access controls, provenance checks, memory integrity, and incident response with observed real-world failures.
Scoring Rationale
An updated OWASP agentic-AI security standard that converts a year of field incidents into a Top 10 risk taxonomy and defensive catalog is directly useful to security teams and likely to be widely referenced. It is an authoritative practitioner resource rather than a frontier-model or regulatory event, placing it solidly in the notable band.
Sources
Public references used for this report.
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