deepsec

Full side-by-side comparison with strengths, weaknesses, pricing, and AI insights.

Add another tool (up to 4):

AI Comparison Insights

Practical analysis powered by AI — which tool actually fits your business?

Get an AI-powered breakdown of the real differences between deepsec — including a clear recommendation, hidden trade-offs, and scenario-based advice.

Requires a free account. Sign up in 30 seconds

Feature	deepsec
STOA Rating	7.0
Description	deepsec is an open-source security harness that uses AI coding agents to find vulnerabilities in your codebase. You run it on your own infrastructure — locally or scaled across Vercel Sandboxes — and it uses your existing Claude or Codex subscription to scan, investigate, revalidate, and export actionable findings with severity ratings. Vercel built it to scan their own monorepos and now open-sources it for any team to use.
Strengths	•Runs fully on your own infrastructure — source code never leaves your environment •Vercel-backed with real production use on dub.co, Unkey, and Vercel's own monorepos •Scales horizontally via Vercel Sandboxes for large codebases •Works with off-the-shelf Claude and Codex subscriptions you already have
Weaknesses	•Requires a Claude or Codex subscription — inference costs can be high on large repos •Best suited for applications and services; library/framework scans need custom prompts •Still early-stage — feedback and contributions actively solicited
Key Features	•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
Pricing	Free tier available Free Tier
Best For	All industries
AI Features	AI-Powered 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.
Categories	Build & ConnectBuild with AI
STOA Verdict	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.
	Visit deepsec View Profile

deepsec

7.0AI

deepsec is an open-source security harness that uses AI coding agents to find vulnerabilities in your codebase. You run it on your own infrastructure — locally or scaled across Vercel Sandboxes — and it uses your existing Claude or Codex subscription to scan, investigate, revalidate, and export actionable findings with severity ratings. Vercel built it to scan their own monorepos and now open-sources it for any team to use.

Strengths

•Runs fully on your own infrastructure — source code never leaves your environment
•Vercel-backed with real production use on dub.co, Unkey, and Vercel's own monorepos
•Scales horizontally via Vercel Sandboxes for large codebases
•Works with off-the-shelf Claude and Codex subscriptions you already have

Weaknesses

•Requires a Claude or Codex subscription — inference costs can be high on large repos
•Best suited for applications and services; library/framework scans need custom prompts

Need help deciding?

A STOA consultant can help you evaluate these tools based on your specific business needs and walk you through implementation.

Talk to STOA

deepsec

AI Comparison Insights

Strengths

Weaknesses

Need help deciding?

Key Features