01
Scan
Parse project files, dependencies, APIs, and security sinks.
Pre-deployment AI application review
Review AI Apps Before Production
A-DAP-T scans code, dependencies, APIs, agent capabilities, memory risks, guardrails, and release policy to show what can break before deployment.
Policy GatesActive review
Scan ModeStatic evidence
Release OutputBLOCK / REVIEW / ALLOW
Comprehensive Report
Deep AI Security Profiling
See exactly how A-DAP-T breaks down a project's risk profile, capabilities, and necessary guardrails before deployment.
Pipeline analysis
Scan — Map — Guardrail — Remedy — Release
A-DAP-T turns raw project code into structured release intelligence.
02
Map
Identify capabilities, data access, and trust boundaries.
03
Guardrail
Measure auth, logs, rate limits, approvals, and masking.
04
Remedy
Prioritize fixes by release impact and risk.
05
Release
Decide BLOCK, REVIEW, or ALLOW with evidence.
Security surfaces
What A-DAP-T Reviews
Analyze application surfaces across dependencies, APIs, AppSec patterns, capabilities, guardrails, and policy.
Selected surface
Dependency intelligence
Goes beyond package-alert lists by checking lockfile presence, unpinned specs, direct-source dependencies, and supply-chain hygiene in the project structure.
Lockfile postureVersion disciplineDirect source drift
why this mattersComplements GitHub-style dependency alerts with release-readiness context and policy impact.
Check The Release Surface Before You Ship.
Run a scan, inspect weak guardrails, review policy blockers, and follow the remedy plan before deployment.