# guide·by AI Security Risks·published

OWASP Top 10 for LLM Applications 2026: the list and what changed

The 2026 OWASP Top 10 for LLM Applications, entry by entry, with what moved since 2025 and which IDs now mean something different.

key points
  • OWASP published the 2026 edition on August 3, 2026, as a PDF. Its main web page still showed the 2025 list when we checked on November 15, 2026.
  • Only LLM01 and LLM02 kept their meaning. LLM03 through LLM10 all point to different risks in 2026; LLM03, for example, was Supply Chain and is now Excessive Agency.
  • System Prompt Leakage became Hidden Context Exposure, a wider entry.
  • Once a model can act with tools and memory, OWASP sends you to its separate Agentic Top 10.

The OWASP GenAI Security Project released the 2026 edition of its Top 10 for LLM Applications on August 3, 2026. It ships as a 122-page PDF. When we checked on November 15, 2026, the project’s main list page at genai.owasp.org still showed the 2025 entries, and so did many of the pages that rank for “OWASP LLM Top 10”. This page has the 2026 list, what moved, and the ID changes that matter if your tests, tickets or policies cite the old numbers.

The 2026 list next to 2025

2026EntryIn 2025Register page
LLM01:2026Prompt InjectionLLM01:2025 same IDPrompt injection
LLM02:2026Sensitive Information DisclosureLLM02:2025 same IDSensitive information disclosure
LLM03:2026Excessive AgencyLLM06:2025Excessive agency
LLM04:2026Supply ChainLLM03:2025AI supply chain compromise
LLM05:2026Data and Model PoisoningLLM04:2025Data and model poisoning
LLM06:2026Unbounded ConsumptionLLM10:2025Unbounded consumption and model theft
LLM07:2026MisinformationLLM09:2025Misinformation and overreliance
LLM08:2026Hidden Context ExposureLLM07:2025 (System Prompt Leakage)Hidden context exposure
LLM09:2026Vector and Embedding WeaknessesLLM08:2025Vector and embedding weaknesses
LLM10:2026Improper Output HandlingLLM05:2025Improper output handling

What moved, and why OWASP says it moved

OWASP says the order moved more this time than in earlier editions. According to its summary, Excessive Agency rose to third, which OWASP calls the most consequential move on the list: practitioner votes and the incident record both point to agentic deployments as the place where damage is landing. Unbounded Consumption rose four places to sixth, because practitioners rated cost and resource exhaustion higher than its old rank. Improper Output Handling fell the furthest, from fifth to tenth.

Prompt Injection stayed first and Sensitive Information Disclosure stayed second; OWASP says the second spot is where its confidence is highest. System Prompt Leakage became Hidden Context Exposure, which OWASP describes as a broader frame for the same failure.

OWASP describes the 2026 list as the first to check practitioner judgment against the record of real incidents, each against the other.

Entries that grew without new numbers

OWASP folded newer risks into existing entries instead of adding thin new categories:

  • Prompt Injection now includes cross-modal attacks, where the instructions hide in an image or audio.
  • Supply Chain now covers a promoted model artifact that isn’t what it claims to be.
  • Data and Model Poisoning now absorbs fine-tuning subversion.
  • Improper Output Handling now spans insecure code that coding assistants generate.

Eight IDs that now mean something else

If you map controls, test cases or findings to OWASP IDs, the numbers are the trap. Only LLM01 and LLM02 kept their meaning. LLM03 through LLM10 all point to different risks in 2026, as the table above shows. Two examples: a 2025 finding filed under LLM06 was about Excessive Agency, while LLM06:2026 is Unbounded Consumption, and a 2025 ticket for LLM03 was about the supply chain, while LLM03:2026 is Excessive Agency.

Writing the year with the ID, as OWASP does (LLM03:2026), removes the ambiguity. The register on this site always uses the 2026 IDs and shows the year.

Where the LLM list stops

OWASP draws a line in the 2026 introduction. This list owns the risk while the model is a component inside your application. Once the model becomes an actor, with tools it can call, memory it carries between sessions and consequences it sets off downstream, OWASP sends you to the Top 10 for Agentic Applications, published December 9, 2025. Many real incidents sit on that boundary, so read the two together if you run agents.

Appendix A of the 2026 PDF maps each entry to the Agentic list, MITRE ATLAS, MITRE ATT&CK, CWE, NIST AI 600-1, the NIST AI RMF, the CSA AI Controls Matrix and OWASP’s AIVSS. We put the Agentic, ATLAS and NIST columns into a browsable crosswalk.

Using the 2026 list

The list gives you names for risks. To turn it into work for your organization, start from what you actually run. The register builder filters the ten entries, plus five risks the list leaves to other documents, by the AI you use, and exports them with controls and vendor questions.

Questions

Is there a 2026 OWASP Top 10 for LLMs?
Yes. The OWASP GenAI Security Project published the Top 10 for LLM Applications 2026 on August 3, 2026. It is a free PDF on genai.owasp.org, licensed CC BY-SA 4.0.
What replaced System Prompt Leakage?
LLM08:2026 Hidden Context Exposure. It covers the system prompt and also other hidden material the model can see, such as tool schemas and retrieved policy text.
Does the 2026 list cover AI agents?
Partly. Excessive Agency (LLM03) covers giving a model too much power. OWASP says risks that come from a model acting on its own, with tools, memory and downstream effects, belong to the OWASP Top 10 for Agentic Applications, published December 9, 2025.

Register entries for this guide

  • R-01 Prompt injection

    Text the model reads changes what it does, whether a user typed it or it arrived hidden in a page, email, file or tool output.

    applies to 6 of 7 uses·cases 11 (4 incidents)

    LLM01:2026ASI01
  • R-02 Sensitive information disclosure

    Confidential, regulated or secret data comes out of an AI system to someone who shouldn't have it.

    applies to 6 of 7 uses·cases 3 (0 incidents)

    LLM02:2026ASI06
  • R-03 Excessive agency

    An AI system has more tools, permissions or autonomy than its job needs, so one bad output turns into a damaging action.

    applies to 4 of 7 uses·cases 4 (1 incident)

    LLM03:2026ASI02ASI03
  • R-04 AI supply chain compromise

    A model, dataset, package, extension or plug-in you pull in is malicious, tampered with or not what it claims to be.

    applies to 4 of 7 uses·cases 6 (4 incidents)

    LLM04:2026ASI04
  • R-05 Data and model poisoning

    Someone tampers with training, fine-tuning or retrieval data so the model learns a backdoor, a bias or a wrong answer.

    applies to 2 of 7 uses·cases 0

    LLM05:2026ASI06
  • R-06 Unbounded consumption and model theft

    Uncontrolled use of an AI service runs up costs, knocks it over, or lets someone copy the model through its outputs.

    applies to 4 of 7 uses·cases 2 (2 incidents)

    LLM06:2026ASI02
  • R-07 Misinformation and overreliance

    A model produces something wrong that looks credible, and a person or system acts on it.

    applies to 4 of 7 uses·cases 1 (0 incidents)

    LLM07:2026ASI08ASI09
  • R-08 Hidden context exposure

    System prompts, tool schemas or other hidden instructions get extracted, along with any secrets someone put in them.

    applies to 4 of 7 uses·cases 1 (0 incidents)

    LLM08:2026ASI06ASI07
  • R-09 Vector and embedding weaknesses

    The retrieval layer behind a RAG app returns the wrong documents, leaks across permissions, or can be poisoned.

    applies to 3 of 7 uses·cases 2 (0 incidents)

    LLM09:2026ASI06
  • R-10 Improper output handling

    Model output is passed to a browser, shell, database or code without being treated as untrusted input.

    applies to 4 of 7 uses·cases 3 (0 incidents)

    LLM10:2026ASI02ASI05

Sources

  1. OWASP Top 10 for LLM Applications 2026. OWASP GenAI Security Project, Aug. 3, 2026.Standard or framework · read: full text (122-page PDF) · retrieved Nov. 15, 2026 · license CC BY-SA 4.0note: Community list. OWASP says the 2026 ranking combines a practitioner vote with incident evidence. Appendix A maps each entry to other frameworks.
  2. OWASP Top 10 for LLMs and Gen AI Apps (2025 list). OWASP GenAI Security Project, Nov. 18, 2024.Standard or framework · read: full page · retrieved Nov. 15, 2026 · license CC BY-SA 4.0note: On November 15, 2026 this page still listed the 2025 entries.
  3. OWASP Top 10 for Agentic Applications 2026. OWASP GenAI Security Project, Dec. 9, 2025.Standard or framework · read: full text (PDF) · retrieved Nov. 15, 2026 · license CC BY-SA 4.0note: Covers risks once a model acts as an agent with tools, memory and delegated authority.