owasp-llm-top10

To perform an OWASP Top 10 security assessment for an LLM application, map your system architecture and evaluate it against each LLM risk category to identify vulnerabilities and rank findings by severity. This generates a detailed report with recommended mitigations.

You can evaluate chatbots, copilots, RAG apps, and any other features built on large language models for security risks. The assessment applies the OWASP Top 10 for LLM Applications to ensure these architectures meet security standards.

An LLM security audit report includes detailed findings for each OWASP Top 10 category, severity rankings, and specific mitigations. It maps your application's architecture to identified risks and provides actionable recommendations to resolve them.

Yes, you can use this OWASP assessment to secure a Retrieval-Augmented Generation (RAG) app. The evaluation walks through each OWASP Top 10 category specifically tailored for LLM-backed applications to identify and mitigate potential security risks.

The OWASP Top 10 for LLM Applications targets risks unique to large language models, such as prompt injection and model supply chain vulnerabilities, rather than traditional web flaws. It maps LLM-specific system architectures to specialized risk categories and mitigations.

You need an LLM security audit for your chatbot or copilot feature when deploying any LLM-backed capability into production. The assessment identifies vulnerabilities across the OWASP Top 10 categories to ensure your application meets security standards before release.