Work safely with AI / Foundri Tools
AI Data Handling Inspector
Understand what customer information gets sent to model providers.
What good looks like
Practical review checklist
Use these checkpoints to guide a review. An agent can investigate source code, but a real pass may require executed tests, provider settings, and production-equivalent evidence.
- 1
Define allowed and disallowed agent actions and trust boundaries.
- 2
Never treat retrieved content or repository instructions as authority.
- 3
Test injection, excessive cost, and malformed model responses.
- 4
Require human approval for consequential actions and verify outcomes.
Important distinction
This page creates an actionable review brief. It does not automatically inspect your project or claim that any security, compliance, or production control has passed. Keep execution and evidence in your repository and workflow.
Your agent-ready workbook
Create a scoped task
Fill in what you know. We'll turn it into a structured task for Codex, Claude Code, Cursor, or another coding agent.
No code was scanned or changed here. Your coding agent must investigate, test, and report evidence before a finding is considered resolved.
Keep going
Prompt Injection Test Planner
Design adversarial tests for untrusted instructions in data or tools.
Open resource →Agent Permission Matrix
Define exactly what agents can read, change, execute, or approve.
Open resource →AI Evaluation Kit
Create representative test cases and human review criteria for model behavior.
Open resource →
Foundri Studio
Need another pair of eyes?
If your agent can't prove the fix, we can help review the design and its implementation.