Winfunc
Winfunc provides autonomous AI security agents that audit codebases, prove exploitability, and deliver production-ready fixes as pull requests. Every finding includes a source-to-sink trace, reproduction evidence, and a patch for engineering review, with support for one-time audits, continuous pull-request scanning, and AI-assisted triage via MCP integration.
- Cybersecurity
- AI Agents
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Security work often gets stuck because product deadlines push reviews into the backlog, false positives from scanners drain engineering time, and triage requires specialized expertise to reproduce issues and prove their impact. Disconnected security tools add more noise, making it harder for teams to see what actually matters and reach a decision.
Solution
Winfunc provides autonomous AI security agents that audit a codebase, prove exploitability, and deliver production-ready fixes. The platform starts with the application context, maps entry points and security boundaries, follows source-to-sink paths, and validates candidates against reachable code and existing controls. Every finding carries attached evidence, assumptions, validation status, and remediation context so engineering teams can inspect the reasoning before acting. The system supports one-time audits, continuous codebase review, and pull-request security scanning, with suggested patches prepared for engineering review and explicit re-review to confirm fixes.
Target Audience
Primary customers are engineering teams and security professionals at fast-moving software companies, including application security, DevSecOps, penetration testing, vulnerability management, and supply-chain security functions that need to investigate code and prepare changes for review.
Features
- Autonomous codebase audit with authorized scope, evidence-led investigation, and review-ready reporting
- Source-to-sink path analysis that maps attacker-controlled inputs to vulnerable operations with reproduction evidence where feasible
- Continuous codebase security that evaluates pull requests against repository-owned review criteria and anchors findings to changed lines
- Suggested patch pull requests for engineering review, with explicit re-review verdicts distinguishing fixed from still present
- Winfunc MCP integration for AI-assisted finding triage and scoped validation
- Findings dashboard with validation status, severity rationale, limitations, and recommended next steps
- GitHub App integration for pull-request scanning and optional Slack alerts
- Version-bound findings tied to exact base and head revisions for reproducibility