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    Artificial Intelligence

    OWASP LLM Top 10

    Also known as:
    LLM Top 10
    OWASP AI Security
    LLM Risk List
    OWASP LLM Risks
    Updated: 2/9/2026

    A standardized list of the most critical security risks for LLM applications, published by OWASP.

    Quick Summary

    OWASP LLM Top 10 is the industry standard for LLM security risks: Prompt Injection (#1), Insecure Output (#2), Data Poisoning (#3). Required reading for AI developers.

    Explanation

    The Top 10: 1) Prompt Injection, 2) Insecure Output Handling, 3) Training Data Poisoning, 4) Model DoS, 5) Supply Chain Vulnerabilities, 6) Sensitive Info Disclosure, 7) Insecure Plugin Design, 8) Excessive Agency, 9) Overreliance, 10) Model Theft.

    Marketing Relevance

    OWASP LLM Top 10 is the reference for LLM security audits. Helps with risk assessment, compliance documentation, developer training.

    Example

    A security review uses OWASP LLM Top 10 as a checklist: Is prompt injection mitigated? Are outputs sanitized? Is training data secure?

    Common Pitfalls

    List is a snapshot – new risks emerge. Not all risks equally relevant for every use case. Detail level for implementation often insufficient.

    Origin & History

    OWASP LLM Top 10 v1.0 was released August 2023, v1.1 in October 2023. The project has 500+ contributors. Version 2.0 is in progress for 2025.

    Comparisons & Differences

    OWASP LLM Top 10 vs. OWASP Top 10 (Web)

    Classic OWASP Top 10 covers web app risks (SQL injection etc.); LLM Top 10 covers AI-specific risks.

    OWASP LLM Top 10 vs. MITRE ATLAS

    OWASP LLM Top 10 is prioritized risk list; MITRE ATLAS is comprehensive framework with techniques and tactics.

    Marketing Use Cases

    1

    Performance marketing teams use OWASP LLM Top 10 to generate campaign concepts faster and roll out A/B tests in hours instead of weeks.

    2

    Content teams deploy OWASP LLM Top 10 to accelerate editorial pipelines — from research and outline through to multilingual localization.

    3

    In customer support, OWASP LLM Top 10 powers intelligent chatbots that resolve Tier-1 tickets automatically, cutting ticket volume by 40–60%.

    4

    Analytics and insights teams combine OWASP LLM Top 10 with BI dashboards to interpret large datasets in real time and surface proactive recommendations.

    5

    Product and innovation teams prototype new features with OWASP LLM Top 10 without locking up deep engineering resources.

    6

    Compliance and legal teams apply OWASP LLM Top 10 to automatically check contracts, briefings and marketing assets against regulations like the EU AI Act.

    Frequently Asked Questions

    What is OWASP LLM Top 10?

    A standardized list of the most critical security risks for LLM applications, published by OWASP. In the context of Artificial Intelligence, OWASP LLM Top 10 describes an established approach increasingly used in production by AI-marketing teams to lift efficiency and quality in a measurable way.

    Why does OWASP LLM Top 10 matter for marketing teams in 2026?

    OWASP LLM Top 10 is the reference for LLM security audits. Helps with risk assessment, compliance documentation, developer training. Companies that introduce OWASP LLM Top 10 in a structured way typically report 20–40% efficiency gains within the first 6 months.

    How do I introduce OWASP LLM Top 10 in my company?

    A pragmatic rollout of OWASP LLM Top 10 starts with a clearly scoped pilot use case, sharp KPIs (e.g. time, cost or conversion impact), a cross-functional team across marketing, data and IT, and a governance baseline aligned with EU AI Act and GDPR. After 6–8 weeks, scale to additional use cases.

    What are the risks and pitfalls of OWASP LLM Top 10?

    Common pitfalls of OWASP LLM Top 10 include vague target outcomes, weak data quality, low team adoption, and bringing privacy and compliance in too late. A structured readiness check, clear ownership and a realistic roadmap materially reduce these risks.

    Related Services

    Related Terms

    LLM SecurityPrompt InjectionAI Safetysecurity-auditrisk-assessment
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