Mission
Make agent risk visible.
AI agents now call tools, touch records, and trigger workflow actions. A-DAP-T helps teams see risky paths before deployment.
ABOUT
Built for agents that can act.
A-DAP-T started as an AI-agent risk scanner and is now moving toward a deployment safety gate: scan, prove, patch, re-scan, and gate unsafe releases before they ship.
PLATFORM GUIDE
A-DAP-T Website Demo
VIDEO GUIDE
Watch this guide to master the pre-deployment security workflow.
Approach
Deterministic first.
The scanner owns findings, scoring, patches, and gate decisions. AI only explains the report and helps users understand what to fix.
Scalability
Enterprise Ready.
Built to handle complex monorepos, multiple project directories, and integrated CI/CD workflows for automated safety gating.
Developer introductions
Team behind the build.
DG
Dhruv Gupta
Product direction · backend integration · AI safety workflow
Led A-DAP-T’s product direction, V2 backend upgrades, report artifacts, DAP behavior, deployment gate flow, and final integration quality.
PA
Pavit Agrawal
Score delta · report comparison · project engineering
Owns the report comparison and re-scan improvement flow so users can measure how safety changes after fixes.
AI
Akshhaya Isa
Frontend development · UI implementation support
Supports the frontend migration and page implementation work for the upgraded A-DAP-T experience.
PRODUCT LOOP
Scan. Prove. Patch. Gate.
The goal is not to replace security audits. The goal is to catch common AI-agent deployment risks earlier and make the first review sharper.