Prompt Injection Defense Checklist
Systematically defend your agent against prompt injection: trust boundaries, content isolation, and defense-in-depth that assumes injection will happen.
The Route
0/4 verifiedMap trust boundaries
You cannot isolate untrusted content you have not identified.
Isolate and label untrusted content
Make the model see the boundary you see.
Separate authority from content
The core defense: injected text cannot authorize actions.
Build and run the injection suite
Demonstrate the defenses against real attacks.
Context Pack
Paste this first. It briefs the AI on requirements, constraints, and the Definition of Done before your first build prompt.
Paste this into your AI builder first. It teaches the AI what you want before you give it the build prompt.
Related routes
More Agent QA & Security flows that share ground with this one.
Threat-Model Your MCP Server
Systematically threat-model an MCP server before it is exploited: assets, entry points, trust boundaries, and mitigations documented and tested.
+1 more steps to Done
Best forproduction-grade builds with strict verification
Dependency and Supply-Chain Scanning for Agents
Guard against the dependencies your agent adds: vulnerability scanning, hallucinated-package detection, and gated installs.
+1 more steps to Done
Best forbuilders who have shipped a basic app before
Guard Memory Writes Against Injection
Stop poisoned data from becoming persistent agent beliefs: validate, attribute, and quarantine memory writes as untrusted input.
+1 more steps to Done
Best forproduction-grade builds with strict verification