Securing LLM Applications Against OWASP Top 10 Risks
A deep dive into the OWASP Top 10 for LLM applications and how enterprise security platforms are evolving to address generative AI threats.
Co-authored with Fernando Cardoso, Dave McDuff, Kim Kinahan, and David Girard. Full whitepaper (PDF).
Large Language Models have rapidly transformed business operations across industries, bringing unprecedented capabilities — and unprecedented security risks. The OWASP Top 10 for LLM Applications provides a framework for understanding these risks, but translating that framework into actionable security controls is where most organizations struggle.
In this whitepaper, we map each of the OWASP Top 10 LLM risks to concrete security capabilities, examining how enterprise platforms need to evolve to address the unique threat landscape of generative AI.
The key insight: LLM security isn’t a new discipline — it’s an extension of application security principles applied to a fundamentally different kind of application. The models aren’t just processing data; they’re making decisions, generating code, and interacting with external systems. The attack surface is the entire capability surface.