What is the OWASP Top 10 for LLM Applications?

The Open Worldwide Application Security Project (OWASP) published its Top 10 for Large Language Models to help organizations understand and defend against the most common and dangerous vulnerabilities in AI applications. Modeled after the original OWASP Top 10 for web apps, this LLM-specific list includes:

1. Prompt Injection
2. Insecure Output Handling
3. Training Data Poisoning
4. Model Denial of Service
5. Sensitive Information Disclosure
6. Insecure Plugin Design
7. Excessive Agency
8. Overreliance
9. Model Theft
10. Supply Chain Vulnerabilities

Each risk category provides examples, mitigations, and testing guidance. This resource is valuable for developers, MLOps teams, and security professionals building with LLMs or integrating models into customer-facing apps.

OWASP Top 10 helps guide red teaming, secure design reviews, and compliance assessments—especially as enterprise AI deployments scale across industries.

How PointGuard AI Helps:
PointGuard AI maps its platform findings directly to the OWASP Top 10 for LLMs. Red teaming, runtime defense, supply chain scans, and posture monitoring all generate evidence aligned to each OWASP category. This enables faster remediation and simplifies compliance reporting for security leaders.
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See more: https://www.pointguardai.com/ai-security-posture-management