DeepAudit

DeepAudit is an open-source AI code-auditing platform that puts a team of collaborating AI agents on your codebase to hunt for security vulnerabilities — and then proves them with automated sandbox proof-of-concept verification. It has around 7,200 stars on GitHub and is actively developed in 2026.

Overview

Traditional static analysis flags patterns; DeepAudit goes further by reasoning about code the way a human auditor does. Multiple specialized agents collaborate on the audit: they map the codebase, trace data flows, identify likely vulnerability classes such as injection, authentication flaws and unsafe deserialization, and debate findings before reporting them. Crucially, suspected vulnerabilities are validated in a sandbox with automatically generated proof-of-concept exploits, which cuts the false positives that plague conventional SAST tools. DeepAudit supports cloud models such as Google Gemini as well as private local deployment through Ollama, generates polished audit reports in one click, and presents everything in a modern web interface. It is free and open source under the AGPL-3.0 license.

Key Features

• Multi-agent AI auditing that reasons about real vulnerability paths
• Automated sandbox PoC verification to confirm findings are exploitable
• One-click, presentation-ready security audit reports
• Supports cloud LLMs and private local models via Ollama
• Modern web UI for launching scans and reviewing results
• Open-source alternative to expensive commercial code-audit services

💳 Pricing

DeepAudit is free and open source under the AGPL-3.0 license. Self-host it at no cost; with local Ollama models you can even audit without paying for any external API.

Who Is It For

DeepAudit is for security engineers, development teams and independent developers who want AI-assisted vulnerability hunting with verified findings, especially where budgets do not stretch to commercial audit platforms.