Safe, Not Sorry

hacked a school ERP in 30 minutes. That should not be the case.

Schools, universities, clinics, and small companies handle sensitive data but rarely have dedicated security teams. Traditional pentests are expensive snapshots, cloud scanners can't reach internal apps, and most security tools assume expert knowledge.

The result: the organizations with the least security expertise are often protecting the most sensitive data.

Safe, Not Sorry is an autonomous AI security engineer that attacks your application and proves what it can access.

A lightweight local runner lets an AI agent Recon → Attack → Prove → Explain. It discovers vulnerabilities, generates and executes attacks, and shows the exact requests, responses, and data accessed in a live dashboard.

Running locally means it can test localhost, staging, and internal applications without sending application data to the cloud.

Instead of an annual pentest or a warning-filled scanner, Safe, Not Sorry provides continuous, evidence-based security testing that a small team can actually run.