OWASP LLM Top 10 Adopt

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Overview

The OWASP Top 10 for Large Language Model Applications is a community standard that catalogs the most critical security risks when building and deploying LLM-powered software. The 2025 edition adds emphasis on agentic misuse, excessive agency, and systemic impacts alongside classic issues like prompt injection and training data poisoning (OWASP LLM Top 10).

Adopt as the baseline threat model for every LLM or agent project during design review, vendor assessment, and red teaming. Map each item to concrete controls in your application, data, and operations layers rather than treating the document as audit wallpaper.

Adoption Signals

  • Enterprise security teams embed OWASP LLM categories in solution architecture gates.
  • RFP templates require vendors to demonstrate mitigations per Top 10 risk.
  • Red team findings are classified using OWASP IDs for trend reporting.
  • Developers receive training tied to specific entries such as insecure output handling.

Risks

  • Treating the Top 10 as exhaustive misses organization-specific threats and business logic abuse.
  • Generic mitigations may not cover multimodal or tool-using agent attack surfaces.
  • Documentation drift if engineering ships features faster than security updates mappings.
  • Overclassification of all AI issues under LLM risks can neglect classic AppSec fundamentals.

Pros & Cons

Advantages

  • Provides a shared vocabulary for LLM-specific risks from prompt injection to supply chain issues.
  • Updated 2025 list reflects agentic systems, excessive agency, and systemic risks.
  • Widely referenced in procurement, architecture review, and security assessment templates.

Disadvantages

  • Checklist usage without threat modeling can create checkbox compliance without real controls.
  • Does not prescribe specific implementations; teams still must map risks to their stack.
  • Rapid attacker tactics evolve faster than annual document updates require continuous monitoring.

Recommendation

Adopt the OWASP LLM Top 10 as mandatory input to architecture review for any GenAI feature. Maintain a living control matrix mapping each risk to tests, monitors, and owners. Refresh mappings when you add agents, tools, or new data sources.

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