The Problem
Traditional static analysis tools bury engineering teams in "maybe" bugs. They flag patterns without understanding context — whether a finding is actually exploitable in this codebase.
Confirming exploitability and shipping fixes normally requires scarce, expensive human security expertise, so real vulnerabilities sit in a backlog while teams triage false positives.
Our Solution
We built an autonomous, multi-agent security pipeline that closes the loop from discovery to fix.
Five specialized agents, one orchestrator
- Ingestion walks the repository, indexes source files, and detects languages.
- Analysis opens an agentic loop where the model chooses which files to read, then returns findings as validated structured data — no hallucinated output.
- Exploit generates a proof-of-concept for each finding and runs it in an isolated sandbox to confirm which vulnerabilities are actually exploitable. These run in parallel.
- Remediation reads each affected file and writes a targeted patch with an explanation.
- Pull Request applies the patches and opens a remediation PR with a severity table and risk score.
Built on modern agent patterns
The system demonstrates agentic reason-act-observe loops, forced-tool-call structured outputs, parallel sub-agents, subprocess sandboxing, and a custom Model Context Protocol (MCP) server that exposes the sandbox to any MCP-compatible client.
Outcome
Instead of a backlog of unverified alerts, teams get a pull request: every reported vulnerability is confirmed by a real sandboxed exploit, patched, and explained — turning a slow, expert-dependent review into an automated, end-to-end workflow.
Tools & Technologies
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