llm-risk-assess

To secure an LLM application against prompt injection and data poisoning, conduct a comprehensive security assessment against the OWASP Top 10 for LLM Applications 2025 using realistic attack scenarios to identify and mitigate vulnerabilities.

The OWASP Top 10 for LLM Applications 2025 is a security standard covering ten critical vulnerability categories for LLMs, including prompt injection, data leakage, and excessive agency, used to scope comprehensive risk assessments for AI agents and chatbots.

You test a RAG pipeline for security vulnerabilities by running comprehensive risk assessments that employ realistic attack scenarios, specifically checking for data poisoning, sensitive data exposure, and prompt injection within the retrieval pipeline.

Yes, this LLM security assessment covers AI agents and chatbots, scoping applications against the OWASP Top 10 to identify threats like excessive agency and prompt injection before deployment.

The best way to identify excessive agency in AI agents is to conduct a security assessment that employs realistic attack scenarios mapped to the OWASP Top 10 for LLM Applications, revealing where agents overstep intended permissions.

You need an LLM risk assessment when proactively securing LLM applications before deployment, ensuring robust protection against emerging threats like prompt injection and sensitive data exposure in customer service chatbots or RAG pipelines.