OWASP Top 10 For
LLM Applications

Enterprises today face unprecedented risks associated with LLMs, such as prompt leakage, excessive agency, and sensitive data exposure. The OWASP Top 10 List for LLM Applications helps highlight the most critical vulnerabilities - identified by 500 experts who analyzed and identified 43 unique LLM threats - and best mitigation strategies, enabling organizations to secure AI systems and applications.

In this Infographic, we’ve illustrated the 10 perils of the LLM realm & mitigation best practices:

1. Prompt Injection: A top-ranked vulnerability, allowing attackers to manipulate LLMs.
2. Sensitive Information Disclosure: Sensitive data or personally identifiable information is exposed.
3. Supply Chain Vulnerabilities: Poisoned data & tampered models lead to biased or inaccurate output.
4. Data & Model Poisoning: When LLMs are trained on corrupt data.
5. Improper Output Handling: When LLM-generated outputs are not adequately filtered.
6. Excessive Agency: LLMs given excessive permissions may lead to exposed data.
7. System Prompt Leakage: Extraction of sensitive information or internal instructions embedded in system prompts.
8. Vector & Embedding Weaknesses: Exploitation of vulnerabilities in vector databases.
9. Misinformation: When false or misleading information appears credible but lacks factual accuracy.
10. Unbounded Consumption: When LLMs are overused leading to resource exhaustion.

Download your copy now to discover how each threat could harm your enterprise and explore detailed mitigation steps.

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