AI safety
AI agent security assessment platform
A security assessment platform for AI agents, offered as managed assessments and as a self-serve scan.
The Challenge
Businesses are deploying AI agents that read documents, call tools and handle sensitive data. Traditional security reviews don't cover how agents get manipulated, and most teams have no way to test them.
How It Works
1
Agents are assessed against a defined attack surface.
Assessments cover eight areas of agent risk, aligned with the OWASP Top 10 for agentic applications and MITRE ATLAS.
2
Scans run as a managed service or self-serve.
A security team can run an assessment for you, or you can run scans yourself.
3
Detections are validated against real vulnerabilities.
An isolated test lab runs a deliberately vulnerable healthcare AI agent to confirm each detection works, including data leakage through logs, retrieval injection and instruction extraction.
4
Findings come back as a report.
Each finding includes what was found and how to fix it.
Built With
Python (FastAPI) and Next.js, PostgreSQL with Alembic migrations, Clerk authentication with mandatory MFA, Stripe billing, and hosting on Render (API and worker) and Vercel (web). GitHub Actions CI runs 1,700+ automated tests and a dependency vulnerability audit on every push. Testing happens in an isolated AWS lab with no inbound network access.
What it's designed to do
- Find agent-specific security gaps before attackers do
- Give teams a clear, prioritized list of fixes
- Test healthcare AI against the data-leakage risks that matter most
Want something like this for your business?
Every build starts with an assessment, so we can adapt this pattern to how you actually work.