OWASP Top 10 For
LLM 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. Insecure Output Handling: When LLM-generated outputs are not adequately filtered.
3. Training Data Poisoning: When LLMs are trained on corrupt data.
4. Model Denial of Service: Overloading LLMs with complex queries, slowing down the model.
5. Supply Chain Vulnerabilities: Poisoned data & tampered models lead to biased or inaccurate output.
6. Sensitive Information Disclosure: Sensitive data or personally identifiable information is exposed.
7. Insecure Plugin Design: Plugins lacking validation may lead to data exfiltration.
8. Excessive Agency: LLMs given excessive permissions may lead to exposed data.
9. Overreliance: Relying on LLM-generated data without validation can result in critical errors.
10. Model Theft: Attackers gain unauthorized access to LLM models, such as via misconfigured settings.

To discover how each threat could harmfully impact your enterprise and explore detailed mitigation steps—download your copy now.

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