Building Secure AI Applications

Key Benefits of Building Secure AI Applications

A practical guide to the OWASP Top 10 for LLM Applications for engineering and security leaders building LLM features. Understand where prompt injection, data poisoning, and other risks appear in real systems, and where controls belong.

Use the reference architecture and control checklist during design, review, and implementation of your AI applications.

AppSec expertise. Put to work.

Inside the guide

Understand the risks

Work through the OWASP Top 10 for LLM Applications with explanations of each risk, real-world incidents, and mitigation controls.

Plan your architecture

See where a policy layer, tool proxy, retrieval pipeline, and vector store fit into a reference architecture for AI applications.

Assign security controls

Use a checklist that maps risks to the API gateway, orchestrator, policy layer, retrieval pipeline, vector store, SDLC, and monitoring.

Download the guide

For more context, read James Wickett's introduction to the LLM App Risk White Paper.

Inside the guide

Understand the risks

Plan your architecture

Assign security controls

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