Autonomous AI-native
security audits.
Winfunc combines SAST, DAST, IaC, and SCA into one AI-native security auditing platform that finds real vulnerabilities, proves impact, and helps teams ship fixes.
Found real vulnerabilities in


How it works
From signal to fix.
See where the real risk sits.
Winfunc reads the codebase as a system. That keeps attention on reachable issues and cuts out a lot of scanner junk.
Show how the bug actually breaks.
Each finding comes with the exploit path, the setup, and the reason it matters. Engineering doesn't have to guess what makes it real.
Hand off fixes people can merge.
Patch guidance stays close to the code path that caused the issue, so teams spend less time translating generic advice into safe changes.
Evidence
Show the proof.

Exploit verification
Proof that ends the argument fast.
The report shows the exploit path, the blast radius, and the next move. That gives engineering, security, and leadership the same picture.

Data-flow analysis
Follow the bug through the system.
You can trace input from entry point to sink, with the surrounding business logic still intact. That's where the expensive bugs usually hide.

Patch delivery
Fixes that respect the code around them.
The point is simple: move from bug found to patch reviewed and shipped faster.
Selected findings
Public proof.
What customers said


“Our engineering team has a background in writing secure code, including building auth platforms and payments platforms for multi-billion dollar companies. We tend to be very mindful of security best practices. Yet Winfunc's initial run surfaced several exploitable vulnerabilities for us to patch in order to keep our platform and our customers' data secure.”
Research
From the lab.
FAQ
Common questions.
Winfunc uses tree-sitter queries, language servers, and LLM-powered analysis. We support all major programming languages.
We've found vulnerabilities in codebases written in Arc, a Lisp dialect with no parsers in the wild.
Next
Start with the work.
Book a call, request an audit, or read the public findings first.

