deepsec is an open-source security harness that uses AI coding agents to find vulnerabilities in your codebase.
Runs on your own infrastructure — no third-party access to your source code required
Uses Claude and GPT models to trace data flows and flag security-sensitive files
Four-stage pipeline: scan → investigate → revalidate → export reduces false positives to roughly 10–20%
Scales to 1,000+ concurrent Vercel Sandboxes for large monorepo scans
Plugin system lets you write custom regex scanners tuned to your auth model or data layer
Export command formats findings as tickets ready for humans or coding agents
Source: deepsec
No integrations listed yet for deepsec.
Uses Claude (max effort) and GPT models as coding agents to investigate security-sensitive code paths, trace data flows, and revalidate findings. A built-in classifier detects when a model refuses a task.
deepsec is one of the most practical AI security tools released so far — it keeps your code private, plugs into subscriptions you already pay for, and has real testimonials from founders at dub.co and Unkey. The tradeoff is that scanning a big codebase can get expensive on inference costs, and the tool is still maturing.
AI-generated training guides tailored to your team's size, skill level, and focus areas for deepsec — coming in v0.3.2.
View our roadmap →We're building a review system so business owners like you can share real experiences with deepsec.
Last researched: June 2026
