Your SAST tool finds patterns. Ours simulates attacks.

LLM-powered static analysis that finds real, exploitable vulnerabilities — then simulates an attacker to eliminate the false positives. Open source. Free to run yourself.

Python · JavaScript · TypeScript · Go · C/C++   |   Runs locally or in CI/CD. Your code never touches our servers.

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The problem you already know

False positive overload

Your SAST tool flags everything that looks dangerous. Your team spends more time closing false positives than fixing real bugs. Industry average: 60-90% of SAST findings are noise. You don't need more findings. You need fewer, better ones.

Two stages. Zero guesswork.

Stage 1 — Detection

An LLM reads each function — with its dependencies, callers, and call context. Not pattern matching. Semantic understanding of what the code does and where the risk is.

It asks two questions: What does this code do? and What is the security risk?

Stage 1 is intentionally aggressive. The cost of missing a real vulnerability is orders of magnitude higher than sending a false positive to Stage 2. So it over-reports. On purpose.

Stage 2 — Attacker Simulation

Every finding from Stage 1 goes to a second pass. This time, the LLM doesn't analyze code — it role-plays as a penetration tester.

"You are an attacker on the internet. You have a browser and nothing else. No server access, no admin credentials, no ability to modify files on the server. Try to exploit this code using MULTIPLE different approaches. For EACH approach, trace through step by step until you succeed or hit a blocker."

The LLM attempts multiple attack paths. Step by step. When it hits real-world blockers — auth middleware, input validation, server-side access requirements — it marks the finding as protected or safe.

This isn't a different model or a different ruleset. It's the same LLM, with the same knowledge. The shift from "analyze this code" to "try to break in" is what forces it to naturally apply real-world constraints.

Stage 2 eliminated 92% of false positives on a 65K-star Go project.

Want us to run it for you?

OpenAnt is open source — clone the repo and start scanning today.
If you'd rather have us handle setup, integration, and tuning, join the waitlist for OpenAnt Managed.

Your code stays in your environment. Bring your own API key. No OpenAnt server involved.