The Open Worldwide Application Security Project (OWASP) has published its Top 10 for Agentic Applications 2026 alongside a new Universal Skill Format v1.0, positioning the pair as a security blueprint for the fast‑growing ecosystem of AI agents and skills.[10][11][15] Together, the framework and specification are intended to give security teams a common language for describing agentic risks and a structured way to manage the software‑like “skills” that power modern AI assistants.[10][11]
The OWASP Top 10 for Agentic Applications 2026 outlines ten high‑level risk categories: Agent Goal Hijack (ASI01), Tool Misuse and Exploitation (ASI02), Identity and Privilege Abuse (ASI03), Agentic Supply Chain Vulnerabilities (ASI04), Unexpected Code Execution (ASI05), Memory and Context Poisoning (ASI06), Insecure Inter‑Agent Communication (ASI07), Cascading Failures (ASI08), Human‑Agent Trust Exploitation (ASI09) and Rogue Agents (ASI10).[4][9] The project describes the list as a globally peer‑reviewed framework that identifies the most critical security risks facing autonomous and agentic AI systems deployed in production.[10][15] Each category mirrors familiar software security concerns but reframes them around agents that can chain tools, carry state and act on behalf of humans or other services.[4][9]
OWASP’s broader GenAI work underscores that these risks are not theoretical: its Q1 2026 exploit round‑up reports multiple incidents where agentic and LLM‑driven applications were successfully compromised along Top 10 categories in real environments.[3] The 2026 Top 10 for LLM Applications, published under the OWASP GenAI Security Project, maintains core threats such as prompt injection and sensitive information disclosure while reprioritizing them based on incident data from real‑world deployments.[1][7][8] Security analyses from vendors and researchers highlight excessive agency, data and model poisoning, supply chain weaknesses and unbounded consumption as prominent drivers of recent AI security events that can translate directly into business disruption or “denial of wallet.”[6][12][13]
Alongside the risk taxonomy, OWASP has released Universal Skill Format v1.0, a platform‑agnostic manifest specification for agentic skills intended to make skill definitions consistent across ecosystems.[11] The specification sets out a standardized way to describe and package skills so they can be registered and integrated with different agent frameworks without relying on proprietary manifest formats, easing the burden of inventory and governance.[11] By formalizing skill metadata in a common format, OWASP aims to reduce ambiguity about what a skill does and how it should be evaluated, enabling more systematic review, policy enforcement and tooling around AI add‑ons.[11]
The new guidance is already being pulled into vendor playbooks. Microsoft, for example, has outlined how capabilities such as Copilot Studio can be configured to address OWASP‑defined risks like agent goal hijack, tool misuse and privilege abuse by constraining objectives, validating parameters and limiting credentials and role chains delegated to agents.[2] Other ecosystem guides built around the OWASP Agentic Top 10 emphasize defensive patterns such as treating retrieved content as untrusted, isolating blast radius to prevent cascading failures, enforcing mutual authentication between agents and signing inter‑agent messages to protect against spoofing and tampering.[4][9]
Industry commentary around the 2026 OWASP lists stresses that organizations should treat agents and skills as a new tier in their software supply chain, subject to continuous monitoring, incident‑driven reprioritization and explicit kill‑switch controls when behavior drifts.[6][7][14] By pairing a risk‑focused Top 10 with a common skill manifest, OWASP is giving security teams both a vocabulary for AI agent threats and a practical handle for controlling the skills and tools those agents are allowed to invoke, raising the bar for secure deployment of agentic and LLM‑based applications.
References
- OWASP GenAI LLM Top 10 2026
- Addressing the OWASP Top 10 Risks in Agentic AI with Microsoft …
- OWASP GenAI Exploit Round-up Report Q1 2026
- OWASP Top 10 for Agents 2026 – The LLM Red Teaming Framework
- Reading the Signals in the OWASP LLM Top 10 2026
- The OWASP Top 10 for LLM Applications 2026: From Model Risks to …
- Building Resilient AI: Insights from the OWASP Top 10 for …
- OWASP Top 10 for Agentic Applications 2026 Explained
- OWASP Top 10 for Agentic Applications for 2026
- Universal Skill Format v1.0 – OWASP Foundation
- OWASP Releases GenAI LLM Top 10 2026 for Building …
- OWASP LLM Top 10 2026 Incident Data Overrules Experts on Misinformation Risk
- OWASP Top 10 Agents & AI Vulnerabilities (2026 Cheat Sheet)
- Resources Archive – OWASP Gen AI Security Project
