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OWASP Top 10 for LLM Apps 2026: Excessive agency risk on the rise | RL Blog
reversinglabs.comarticle

OWASP Top 10 for LLM Apps 2026: Excessive agency risk on the rise | RL Blog

ReversingLabs blog covering the OWASP Top 10 for LLM Applications 2026, where excessive agency rises from sixth to third and misinformation and unbounded consumption move up. It explains the new ranking method (75% practitioner vote, 25% incident data from 7,714 incidents, 6,639 classified) and collects practitioner views. The core guidance is to assume models will be fooled and limit blast radius through scoped, short-lived credentials, external verification, and per-user and per-session budgets.

TL;DR Analysis of the OWASP LLM Top 10 2026: excessive agency climbs to #3, incident data now informs rankings, and the advice is to contain damage rather than prevent model manipulation.
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Organisations named here

  • Steve Wilson

Technologies named here

  • OWASP Top 10 for LLM Applications 2026
  • Large language model applications and AI agents
  • OWASP GenAI Security Project
  • OWASP DockSec
  • MITRE ATLAS
  • NIST
  • OWASP Top 10 for Agentic Applications
  • Spectra Assure
  • LLM
  • DockSec
  • OWASP Top 10 for LLM Applications

Standards and laws named here

  • CWE

Techniques named here

  • Prompt Injection
  • Sensitive information disclosure
  • Excessive Agency
  • Supply chain and data/model poisoning risks
  • Misinformation
  • Hidden context exposure
  • Vector and embedding weaknesses
  • Improper output handling
  • Disclosure of sensitive information
  • Supply chain risk
  • Data/model poisoning
  • Unbounded consumption

Also named here

  • denial-of-wallet

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