Identify and mitigate risks in AI-assisted development
How much of your codebase was written by AI — and how much of it is safe?
AI Risk Manage surfaces hallucinated changes, insecure suggestions, and unreviewed AI edits before they ship.
Core capabilities
AI Risk Manage traces every step of AI-assisted development and flags the risks hiding in it
See the risk in the process, not just the diff
Code review catches what landed. AI Risk Manage traces the full chain that got you there — the prompts, the AI responses, the accepted and rejected suggestions — so you can spot the risks reviewers never see.
- Detect risky prompt patterns and unsafe instructions
- Track how AI suggestions were reviewed, edited, or blindly accepted
- Flag iteration cycles that indicate hallucination or confusion
Know exactly which changes came from AI
AI Risk Manage groups commits into meaningful units of work and separates AI-generated changes from human-authored ones — so you can target review effort where the risk actually lives.
- Automatic grouping of related changes
- Per-commit AI contribution breakdown
- Full prompt history linked to every change
Actionable insights on AI risk exposure
From intent to final merge, AI Risk Manage compares what the developer asked for with what actually shipped — highlighting drift, scope creep, and high-risk areas that need a second look.
- Intent vs. outcome drift analysis
- Visual execution flow of every AI-assisted task
- Targeted mitigation recommendations
Spot the habits that lead to unsafe AI usage
Learn which developers rubber-stamp AI output, which prompts consistently lead to rework, and which workflows ship risk to production — so you can coach teams before incidents happen.
- Commit-history workflow reconstruction
- AI interaction pattern visualization
- Risk-weighted developer and team scoring
Ship AI-assisted code with confidence
Bring AI risk out of the shadows. Get visibility, control, and accountability across every AI-assisted change.
Start for free