AI security guide
AI API Security: What to Test
A consistent AI interface can simplify integration, but application security still depends on authentication, authorization, limits, tool access, data handling, and deployment controls.
Updated September 14, 2026
01
Authentication and authorization
Verify that credentials are required where expected and that a caller cannot cross tenant, project, model, or capability boundaries.
02
Input and resource limits
Check oversized requests, malformed inputs, rate controls, timeout behavior, and bounded resource consumption using safe test limits.
03
Tool and data boundaries
If tools, retrieval, or external data are connected, verify the integration cannot invoke unauthorized actions or retrieve data outside the intended scope.
04
Logging and error exposure
Review whether errors or diagnostic responses disclose secrets, internal identifiers, stack details, or other unnecessary information.
Next
Put this guidance into practice.
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