DeepAudit is a privacy-preserving code audit platform that combines multiple specialized AI agents to identify and verify security vulnerabilities in source code. It functions as a local LLM vulnerability scanner, an automated security report generator, and a sandboxed exploit verifier, all operating entirely within an internal network to keep sensitive code and data on premises.
What distinguishes DeepAudit is its multi-agent cooperative approach: teams of AI agents jointly plan, analyze, and cross-check findings across the codebase, moving beyond single-pass scanning. The platform also sandbox-confirms exploitability by running proof-of-concept scripts in an isolated environment, reducing false positives while validating real-world risk. All analysis runs locally using on-premises large language models, ensuring no data leaves the internal network.
DeepAudit complements these differentiators with configurable audit scopes — allowing teams to target specific directories and file patterns — and rule-based vulnerability matching against known patterns. After analysis, it automatically produces a structured report with severity levels and remediation steps.
