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Tools💻 Code & Developmentwinfunc
winfunc

winfunc

Contact Sales

Autonomous AI security agent that audits codebases, generates exploit PoCs, and patches vulnerabilities in hours.

By Tanmay Verma, Founder · Last verified 06 Jul 2026

0 views
Added 6d ago
75/100Safe Bet
Visit Website

In short

winfunc — Autonomous AI security agent that audits codebases, generates exploit PoCs, and patches vulnerabilities in hours. Best for Security engineers in high-stakes environments (fintech, healthcare, SaaS) needing verified exploitability, DevSecOps teams seeking zero-false-positive vulnerability detection and automated patching, Engineering teams that need automated patches for mission-critical codebases. Contact Sales pricing.

Compared withvs Sublime Securityvs Push Securityvs Audioeye

Is winfunc actually worth it?

Live

See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.

3 free scans · no card needed · downloadable report

Run a free scan

Editorial Verdict

Best for
Security engineers in high-stakes environments (fintech, healthcare, SaaS) needing verified exploitabilityDevSecOps teams seeking zero-false-positive vulnerability detection and automated patchingEngineering teams that need automated patches for mission-critical codebasesPenetration testers looking for deep, exploitable vulnerability discovery with PoCsCompliance officers requiring proof-of-exploit for audit evidence
Not ideal for
Teams seeking a low-cost, quick security scan without exploit verificationOrganizations that cannot share their codebase with an external AI agent (air-gapped environments currently limited toDevelopers who prefer minimal tooling overhead and manual security processesTeams that primarily need compliance checkbox scanning without actionable fixes

Winfunc delivers on its promise of automated exploit generation and patching with zero false positives. Its AI agents uncover vulnerabilities that traditional SAST tools like Snyk or Semgrep miss—including race conditions, memory safety issues, and complex business logic flaws. The platform is best suited for security and DevSecOps teams at high-stakes companies (fintech, healthcare, SaaS) that need verified, actionable fixes. However, its contact-based pricing limits accessibility for smaller teams. If you need a quick, low-cost scan without exploit verification, consider alternatives like Semgrep or Snyk.

Skip winfunc if Skip Winfunc if you need a low-cost, self-serve vulnerability scanner without exploit verification, or if you cannot share your codebase with an external AI agent.

Compare with: winfunc vs Draftbit, winfunc vs Sublime Security, winfunc vs Snyk DeepCode AI

Last verified: July 2026

What's new in winfunc

Checked 3 days ago

Across the latest 1 update: 1 launch.

LaunchChangelog·6 days agoNewest

N-Day-Bench

Launched a public monthly benchmark measuring LLM vulnerability discovery across 1,000+ advisories using Curator, Finder, and Judge agents.

What independent users actually report about winfunc

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

6 mentions across 1 source (Hacker News).

35% positive65% critical
Recurring strengths
  • +Finds deep bugs traditional scanners miss (race conditions, business logic flaws).
  • +Automated exploit generation with executable proof-of-concepts saves time.
  • +Integrates with CI/CD, AI editors, and issue trackers seamlessly.
  • +N-Day-Bench provides a public, reproducible benchmark for LLM security agents.
  • +Capable of discovering 0-days in high-profile projects like Node.js and React.
Recurring frustrations
  • −LLM judge used in benchmarks is gullible, leading to inflated metrics.
  • −High false-positive rate requires manual verification of results.
  • −Harness bugs in N-Day-Bench make leaderboard untrustworthy currently.
  • −No public pricing—teams cannot evaluate cost without contacting sales.
  • −Limited community feedback outside Hacker News; sparse real-world reviews.
Patterns worth knowing
N-Day-Bench leaderboard is interesting but currently unreliable due to LLM judge flaws and harness bugs.
Seen on Hacker News
Winfunc team acknowledges high false-positive rates and is actively working to reduce them.
Seen on Hacker News
Winfunc has demonstrated ability to find previously undiscovered 0-days in well-known projects.
Seen on Hacker News
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • • No public pricing—may require significant budget for enterprise plan
  • • Potential compute costs for self-hosted deployment

Viability Score

75/100
Safe Bet

How likely is winfunc to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
70
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Automated exploit generation with executable proof-of-concepts
  • Deep static analysis with taint tracking and reachability analysis
  • Dependency vulnerability scanning
  • Secrets detection (API keys, tokens, passwords, certificates)
  • API security analysis (REST, GraphQL, gRPC) for IDOR, broken auth, injection
  • AI-powered triage and contextual security Q&A
  • Customizable scan rules per repository
  • Real-time scanning with streaming results and job cancellation
  • CI integration with diff-based incremental scanning and blocking gates
  • PR security scanning with inline comments and SARIF output
  • Security analytics with score tracking and trend monitoring
  • Enterprise controls: SSO/SAML, RBAC, self-hosted deployment
  • MCP integration for AI editors (Cursor, Claude, Windsurf, Cline)
  • Autonomous audit of production-grade codebases
  • Continuous protection with automated patches via PRs

About winfunc

Contact SalesAdvancedAPI availableWeb · API · Plugin · CLI

Winfunc is an AI-native security engineering platform that uses autonomous agents to audit codebases, prove exploitable vulnerabilities with executable proof-of-concepts (PoCs), and deliver automated patches via pull requests. Designed for engineering and security teams at mission-critical companies—fintech, healthcare, SaaS—it detects and fixes vulnerabilities faster than traditional scanners. It connects to GitHub repositories and performs deep security audits covering SAST, dependency scanning, secrets detection, and API security (REST, GraphQL, gRPC). It generates zero false positives by formally verifying exploitability. Winfunc integrates directly into development workflows via AI editors (Cursor, Claude, Windsurf, Cline), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps), SCM tools (GitHub, GitLab, Bitbucket), and issue trackers (Jira, Linear, Slack). Key features include automated exploit generation, deep static analysis with taint tracking, dependency scanning, secrets detection, API security analysis, AI-powered triage and contextual Q&A, customizable scan rules, real-time streaming results, CI integration with diff-based incremental scanning, and PR security scanning with inline comments and SARIF output. A monthly benchmark, N-Day-Bench, was launched in July 2026 to measure LLM vulnerability discovery across 1,000+ advisories.

Behind the Verdict

Winfunc is a specialized AI-native security agent that focuses on verified exploitability and automated patching. Its core differentiator is generating executable proof-of-concepts for every vulnerability, which eliminates false positives and provides developers concrete steps to fix issues. The agent integrates deeply into existing workflows: it can be used inside AI editors like Cursor and Claude Desktop for real-time scanning, in CI/CD pipelines to block vulnerable PRs, and as a continuous monitor for zero-days. The N-Day-Bench launch adds transparency to its LLM discovery capabilities. Strengths include zero false positives, automated PoC generation, deep static analysis (taint tracking, reachability analysis), API security analysis for multiple protocols, and broad integration with SCM, CI, and issue trackers. Weaknesses include contact-only pricing (no self-serve tier), which may deter small teams or individual developers. The platform may also be overkill for less critical projects or for teams that prefer manual security processes. Its focus on production-grade codebases means very large monoliths might hit context window limits. Where it fits: security engineers at fintech, healthcare, and SaaS companies needing verified exploitability; DevSecOps teams aiming for zero-false-positive detection and automated patching; compliance officers requiring proof-of-exploit for audit evidence. Where it doesn't: teams seeking a low-cost quick scan; organizations that cannot share codebase with an external agent; developers wanting minimal tooling overhead; teams needing compliance checkbox scanning without actionable fixes.

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Real-world workflow fit

Concrete scenarios for the personas winfunc actually fits — and what changes day-one when you adopt it.

Security engineer at a fintech startup

Connect winfunc to your GitHub repository. Run an autonomous audit that finds and verifies 10 exploitable vulnerabilities with PoCs. Review automated patches and merge them into your codebase within hours.

Outcome: Reduced time-to-remediate from weeks to hours, with zero false positives and actionable fixes.

DevSecOps manager at a SaaS company

Integrate winfunc into your GitHub Actions CI pipeline. Every pull request automatically triggers a diff-based security scan, blocking any PR that introduces a critical vulnerability.

Outcome: Continuous security enforcement without slowing down development, with inline comments directly on PRs.

Penetration tester

Use winfunc's research mode to deeply analyze a target codebase. The agent generates custom PoCs for race conditions and memory safety issues that traditional scanners miss.

Outcome: Discovery of complex vulnerabilities with verifiable exploits, strengthening your final report.

Use Cases

  • Audit a GitHub repository for exploitable vulnerabilities with automated PoC generation and patch PRs.
  • Integrate winfunc into CI/CD pipelines to block pull requests containing critical vulnerabilities.
  • Use winfunc's AI triager to answer security questions and triage findings without manual analysis.
  • Scan sensitive code for hardcoded secrets like API keys, tokens, and passwords before deployment.
  • Enforce custom security rules based on compliance standards (e.g., PCI DSS, SOC 2) across all repositories.
  • Monitor a codebase continuously for zero-day vulnerabilities with real-time event streaming.
  • Automate security audits for API endpoints (REST, GraphQL, gRPC) to detect IDOR, broken auth, and injection.
  • Use N-Day-Bench to evaluate LLM vulnerability discovery performance across 1,000+ advisories.

Models Under the Hood

proprietary LLM (specific models not disclosed)

as of 2026-07-06

Limitations

  • Winfunc currently requires contact-based pricing and does not offer a public self-serve free tier.
  • The platform is optimized for production-grade codebases and may be overkill for smaller or less critical projects.
  • Deployment in fully air-gapped environments is possible only with enterprise self-hosted plan, and context window constraints may affect analysis of extremely large monolithic repositories.

as of 2026-07-06

Integrations

CursorClaude DesktopWindsurfClineGitHubGitLabBitbucketGitHub ActionsGitLab CIJenkinsCircleCIAzure DevOpsJiraLinearSlack

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • If you require on-premises deployment, you must purchase the enterprise self-hosted plan with custom pricing and likely a minimum annual contract.
  • Going beyond your plan's user or scan quota may require upgrading to a higher tier with additional per-seat fees.
  • SSO/SAML and RBAC are locked to the Enterprise tier, so security-conscious teams may be forced to upgrade.

Where the pricing makes sense

The company stage and team size where winfunc's pricing actually pencils out — and where peers do it cheaper.

Winfunc uses contact-based pricing with no public tiers, making it best suited for enterprise security teams with dedicated budgets. Compared to open-source alternatives like Semgrep (free tier, $12/user/mo for paid) or Snyk (free tier, $25/mo for team), Winfunc offers deeper verification (exploit PoCs) but at a higher cost and less accessibility.

Setup time & first value

How long it actually takes to get something useful out of winfunc — broken out by persona, not the marketing-page minute.

For a security engineer: connecting a GitHub repository takes about 5 minutes via OAuth. The first deep audit runs within minutes for a typical codebase, with results streaming in real-time. For CI integration, expect 10-15 minutes to configure GitHub Actions or GitLab CI pipeline with the winfunc agent.

Switching to or from winfunc

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From Snyk: Export your project's dependency manifest (package.json, requirements.txt) and import into winfunc's scanning scope. Set up custom rules to match previous configurations.
  • →From Semgrep: Migrate custom rules by translating Semgrep patterns to winfunc's AI-driven rule configuration language.
Migrating out
  • ↗To open-source tools: Download winfunc's SARIF output reports to import into your new toolchain.
  • ↗To Snyk: Manually re-configure dependency scanning and policy rules; winfunc's PoCs cannot be directly exported.

Resources & Guides

  • Resourcewinfunc.com

    Ai Vulnerability Triage · winfunc

    Helpful link from winfunc.com

Frequently Asked Questions

Tools that pair well with winfunc

Common stack mates teams adopt alongside winfunc, with the specific reason each pairing earns its keep.

Draftbit

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Sublime Security

AI-driven email security for advanced threat detection with low false positives.

Snyk DeepCode AI

Snyk DeepCode AI

Hybrid AI code security scanner with 85%-accurate autofixes for DevSecOps teams.

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Details

Pricing
Contact Sales
Skill Level
Advanced
Platforms
Web, API, Plugin, CLI
API Available
Yes
Content updated
3d ago
Pricing & overview verified
3d ago

Categories

💻 Code & Development🔒 Security & Privacy🤖 Automation & Agents

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Resources

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Visit Website
RightAIChoice

The decision-making engine for discovering AI tools.

One AI tool every Friday

A 60-second editorial pick. No filler, no funnel — unsubscribe anytime.

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Company

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Legal

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© 2026 RightAIChoice. All rights reserved.

Built for the AI community.