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OWASP Top 10 for LLM Applications 2026

The definitive industry standard identifying the ten most critical security risks for applications powered by large language models, updated for 2026 with refined rankings, new threat categories, and mappings to MITRE ATLAS, CWE, and NIST AI RMF.

Vulnerability ManagementLLM SecurityApplication SecurityStandard

The OWASP Top 10 for LLM Applications 2026 is the community-driven reference for LLM security, developed by hundreds of contributors across more than 18 countries. It maps each vulnerability to CWE, MITRE ATLAS tactics, and NIST AI RMF controls, making it the most widely referenced mapping of LLM-specific security risks.

The ten risks at a glance

#RiskCore concern
LLM01Prompt InjectionUntrusted input manipulates model behaviour, bypassing intended guardrails
LLM02Insecure Output HandlingUnvalidated LLM output reaches downstream systems, enabling injection, code execution, or data exposure
LLM03Training Data PoisoningCompromised training or fine-tuning data introduces backdoors, bias, or degraded safety behaviour
LLM04Model Denial of ServiceResource-exhaustion attacks degrade availability or inflate operational costs
LLM05Supply Chain VulnerabilitiesThird-party models, datasets, or plugins introduce untrusted dependencies
LLM06Sensitive Information DisclosureModel outputs or logs leak personal data, credentials, or proprietary information
LLM07Insecure Plugin DesignPlugins receive untrusted input with insufficient access control or input validation
LLM08Excessive AgencyThe LLM is granted authority to act beyond what its reliability, context, or supervision can justify
LLM09OverrelianceHuman operators or downstream systems accept LLM output without verification
LLM10Model TheftUnauthorised access, copying, or exfiltration of proprietary model weights or architecture

ATLAS connection

All ten OWASP LLM risks have corresponding entries in the ATLAS Risk Catalogue:

OWASP LLMATLAS Risk
LLM01 — Prompt InjectionPrompt Injection
LLM02 — Insecure Output HandlingImproper Output Handling
LLM03 — Training Data PoisoningData and Model Poisoning
LLM04 — Model Denial of ServiceUnbounded Consumption
LLM05 — Supply Chain VulnerabilitiesAgentic Supply Chain Compromise
LLM06 — Sensitive Information DisclosureSensitive Data Disclosure
LLM07 — Insecure Plugin DesignInsecure Tool Invocation
LLM08 — Excessive AgencyExcessive Agency
LLM09 — OverrelianceMisinformation
LLM10 — Model TheftSensitive Data Disclosure

Additional ATLAS risks covering OWASP territory include System Prompt Leakage and Vector and Embedding Weaknesses, which appear in the 2025 edition and remain relevant to any LLM security programme.

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Official source: OWASP