Executive Summary
OWASP published its Top 10 for LLM Applications, covering prompt injection, data leakage, insecure output handling and supply-chain risks, with examples and mitigations.
What Happened
OWASP released the Top 10 for Large Language Model Applications, documenting the most critical security risks for LLM-based systems, such as prompt injection, data leakage, insecure output handling, and supply-chain vulnerabilities in models and plugins.[1] The project provides concrete examples of how LLM-powered apps can be manipulated to exfiltrate sensitive data, call tools in unsafe ways, or abuse external plugins, and offers mitigation guidance for developers building SaaS, healthcare, and fintech applications.[1]
Vulnerability / Attack Technique
LLM application risks (reference)
Technical Mechanism
Reference framework.
AI Security Category
LLM01:2025 Prompt Injection
Part of the Prompt Injection topic.
Relevant Frameworks
RealGround Analysis
The framework RealGround maps its work to.
Recommended Controls
- Map your AI controls to the OWASP LLM Top 10
Related RealGround Service
Secure AI Agent Build · or start with the free AI Agent Security Scanner.
Sources
OWASP: https://owasp.org/www-project-top-10-for-large-language-model-applications/
Summary and analysis written by RealGround from the source above; last updated 2026-10-18.