winfunc
Winfunc runs AI security agents that audit a codebase, prove exploitability with PoCs, and hand engineers patch pull requests to review.
Buy winfunc if the costly part of your security process is proving an issue is real and getting a fix through code review — the evidence-first agent workflow and suggested patch PRs target exactly that bottleneck, and the MCP integration means findings surface inside Cursor or Claude Desktop rather than a separate queue. Skip it if your gap is cheap breadth; Semgrep covers far more ground for far less, and a human pentest still supplies judgment winfunc openly describes as complementary. The April 2026 secrets detection and SSO/SAML plus self-hosted option make it materially more viable for regulated teams than it was a year ago.
Verified 5d ago · liveness 81/100 · cite: rightaichoice.com/tools/winfunc
- Security and engineering teams that need findings backed by inspectable evidence, not alert volume
- DevSecOps teams that want remediation delivered as patch pull requests for PR review
- Companies preparing for a release or audit that need a scoped, version-bound codebase review
- Developers in Cursor, Claude Desktop, Windsurf, or Cline who want in-IDE security scans via MCP
- Teams whose gap is cheap continuous breadth — Semgrep covers more ground at lower cost
- Anyone expecting a literal zero-false-positive guarantee — the page promises visible uncertainty instead
- Teams looking to replace a human pentest outright rather than complement one
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip winfunc if your binding constraint is cheap breadth rather than proof — a $500 one-time surface scan or a scoped deep-scan quote is not how you buy a $0-tier linted scanner, and Semgrep covers far more rules for far less.
The $500 one-time tier is explicitly a surface-level scan; a deep scan on the same codebase is priced separately by scope, so the $500 is a starting point rather than the full assessment cost.
The $500 one-time surface scan is the low-commitment entry point, suited to a single scoped review before a release or audit; pay-as-you-go credits fit teams with bursty review needs, and recurring coverage fits teams scanning continuously. Deep scans and Enterprise are quoted by scope, so cost scales with codebase size and control requirements rather than seat count. Against Semgrep's low-cost broad coverage winfunc is more expensive per rule; against a human pentest engagement it is likely
In short
winfunc — Winfunc runs AI security agents that audit a codebase, prove exploitability with PoCs, and hand engineers patch pull requests to review. Best for Security and engineering teams that need findings backed by inspectable evidence, not alert volume, DevSecOps teams that want remediation delivered as patch pull requests for PR review, Companies preparing for a release or audit that need a scoped, version-bound codebase review. Plans from $500.
What's new in winfunc
Checked 5 days agoAcross the latest 4 updates: 3 feature updates and 1 launch.
N-Day-Bench — public monthly benchmark for LLM vulnerability discovery
Launched a public monthly benchmark measuring LLM vulnerability discovery across 1,000+ advisories, using a Curator, Finder, and Judge agent framework.
CI Integration & PR Security
Introduced native pipeline integration for GitHub Actions, GitLab CI, and Jenkins, with diff-based PR scanning, blocking gates, SARIF output, and inline comments.
Enterprise Controls
Added SSO/SAML, role-based access management, a self-hosted deployment option, and repository-level access controls.
Secrets Detection
Added high-precision detection of API keys, tokens, passwords, and certificates in code, config files, and env vars.
What people actually say about winfunc — is it worth it?
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.
21 mentions across 2 sources (Hacker News, YouTube) · researched Aug 12, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Generates executable PoCs for every finding, verifying exploitability.
- +Delivers fixes as PRs, reducing context switching for dev teams.
- +Covers SAST, dependency scanning, secrets, and API security in one platform.
- +Integrates with CI/CD and major AI editors via MCP.
- +Publicized discoveries in Node.js, React, and Nginx add credibility.
- −Benchmark harness bug and 'gullible' LLM judge undermine data trust.
- −Zero false-positive claim lacks independent verification.
- −Limited community feedback; support and reliability are unproven.
- −Advanced skill level may alienate less-experienced security teams.
- −One-time scan at $500 may be steep for small teams.
- • One-time scans start at $500, which may add up for ongoing needs.
- • Enterprise features like self-hosting likely require custom quotes.
Viability Score
How well maintained and how widely used is winfunc? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Autonomous AI security agents that audit a version-bound codebase
- Evidence-first findings with reproduction detail where feasible
- Suggested patch pull requests for engineering review
- Hypothesis scans that investigate a security claim written in your own words
- SAST-style source tracing across relevant code paths
- Dependency scanning (SCA) against OSV with concrete upgrade paths
- Secrets detection for API keys, tokens, passwords, and certificates
- Business-logic and authorization investigation, including tenant boundary checks
- Diff-scoped PR security scanning in CI
- Blocking gates and SARIF output in pipelines
- Inline PR comments with findings
- Winfunc MCP for Cursor, Claude Desktop, Windsurf, and Cline
- Findings dashboard with security score tracking
- AI-assisted finding triage and prioritization
- SSO/SAML, RBAC, and repository-level access controls
About winfunc
Winfunc is an AI security engineering platform built around autonomous agents that read your codebase, investigate a specific security claim, and prepare remediation your engineers can actually review. Instead of another unsupported alert, you hand it a repository and a question, and it traces the relevant code paths, documents its evidence, and returns something inspectable. The workflow covers four surfaces: version-bound code audits, diff-scoped PR security review in CI, hypothesis scans that investigate a claim written in your own words, and dependency scanning against OSV that turns advisories into concrete upgrade paths. April 2026 added secrets detection for API keys, tokens, passwords, and certificates across code, config files, and env vars — plus enterprise controls: SSO/SAML, RBAC, repository-level access controls, and a self-hosted deployment option. Remediation arrives as suggested patch pull requests for engineering review rather than auto-merges. Findings land in a dashboard with security score tracking, AI-assisted triage handles prioritization, and Winfunc MCP pushes the same scanning into Cursor, Claude Desktop, Windsurf, and Cline so a developer can audit a snippet without leaving the editor. CI integration covers GitHub Actions, GitLab CI, and Jenkins with diff-based PR scanning, blocking gates, SARIF output, and inline comments. The vendor frames the output honestly: the promise is evidence and scoped validation with uncertainty made visible, not a zero-false-positive guarantee. Public findings reference real CVEs in NGINX and seroval, and N-Day-Bench publishes monthly LLM vulnerability-discovery results across 1,000+ advisories using a Curator, Finder, and Judge agent framework. SOC 2 Type II certified and Y Combinator backed. Pricing runs from a $500 one-time surface scan through pay-as-you-go credits, recurring coverage, and Enterprise, with deep scans priced by scope.
Behind the Verdict
Winfunc's real differentiator is not detection — it is the chain from finding to evidence to reviewable patch. Most scanners stop at a line number and a rule ID, and someone senior spends the afternoon proving the issue is exploitable before anyone will schedule the fix. Winfunc's agents are built to produce reproduction evidence where feasible, trace the vulnerable code path, and open a suggested patch PR your engineers approve or reject. That converts a research task into a code review task, which is a cheaper kind of hour. The four surfaces map to how security work actually accumulates. Version-bound audits suit a release gate or an audit deadline, where you want a fixed snapshot assessed rather than a rolling feed. Diff-scoped PR scanning in GitHub Actions, GitLab CI, or Jenkins with blocking gates, SARIF output, and inline comments fits teams that want to stop a regression at the pull request rather than in a quarterly review. Hypothesis scans are the unusual one: you describe a claim in your own words — a tenant boundary concern, an authorization gap — and the agent investigates it, which is closer to briefing a contractor than configuring a rule. Dependency scanning against OSV with upgrade paths covers the supply-chain flank. The honest caveat is built into the vendor's own language. Winfunc frames uncertainty as visible rather than claiming zero false positives, and you should calibrate to "smaller, inspectable set" rather than "provably none." That is a more defensible posture than most vendors take, but it also means a human still owns the final judgment call on severity and exploitability. Where it does not fit: threat modeling and cloud security are listed as planned rather than available today, and Slack alerts plus security analytics and leadership views are also marked planned — so a team wanting a single pane of glass for posture reporting will find gaps. Enterprise controls including customer-controlled hosting, isolated tenants, and customer-managed model credentials are handled by agreement, so air-gapped or code-cannot-leave-the-building companies need a contract conversation first. And it complements a pentest rather than replacing one; if you are looking to cancel that engagement, this is the wrong tool for the job. Bottom line: strongest for teams where remediation throughput, not alert volume, is the binding constraint — startups shipping fast who need evidence-backed findings and a patch they can merge, especially those already living in Cursor, Claude Desktop, Windsurf, or Cline.
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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.
Buy a $500 one-time surface scan against a version-bound snapshot of the repo two weeks before launch, then read the prioritized findings workspace with supporting context.
Outcome: A scoped list of issues with supporting context and suggested remediation, decided on before the release date rather than as a post-launch scramble.
Wire diff-based PR scanning into GitHub Actions with blocking gates and SARIF output, so a critical finding fails the check and an inline comment lands on the pull request.
Outcome: Regressions get caught at the pull request, and the suggested patch PR arrives for the author to approve — remediation stays in code review instead of a separate tracker.
Use Winfunc MCP to audit a snippet or a repository directly from the editor, without switching to a web dashboard.
Outcome: A security check on the code in front of you in the same session where you wrote it, with the finding surfaced where the fix will be written.
Use Cases
- Audit a GitHub or GitLab repository for exploitable vulnerabilities and receive suggested patch PRs for engineering review.
- Add diff-scoped PR scanning to GitHub Actions, GitLab CI, or Jenkins with blocking gates and inline comments.
- Write a security hypothesis in your own words — a tenant boundary concern or authz gap — and have the agent investigate it.
- Scan code, config files, and env vars for hardcoded API keys, tokens, passwords, and certificates.
- Scan dependencies against OSV and get concrete upgrade paths out of flagged advisories.
- Run a version-bound codebase review ahead of a release or an audit deadline.
- Audit REST, GraphQL, or gRPC API endpoints for IDOR, broken authentication, and injection.
- Run a security scan from inside Cursor, Claude Desktop, Windsurf, or Cline via Winfunc MCP.
Models Under the Hood
as of 2026-09-26
Limitations
- Threat modeling and cloud security are listed as planned rather than available today, and Slack alerts plus security analytics and leadership views are also marked planned.
- The website does not name any underlying AI model, so model details remain unknown.
- Enterprise controls including customer-controlled hosting, isolated tenants, and customer-managed model credentials are handled by agreement rather than as standard features.
- Determinism is not promised: the vendor frames output as evidence and scoped validation with uncertainty made visible, so a human still owns the final severity and exploitability call.
- Fixes arrive as suggested patch pull requests requiring engineering review, not automatic remediation.
as of 2026-10-03
Verification history
We have re-verified winfunc 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published winfunc tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
One-time
$500 one-time
Ideal for
A team that needs one scoped review before a release or an audit deadline and does not want an ongoing subscription.
What this tier adds
Starting tier — a single surface-level scan from $500 with a findings workspace; deep scans are priced separately by scope.
Pay as you go
Custom
Ideal for
Teams with bursty review needs who want credits on demand rather than a recurring monthly commitment.
What this tier adds
Adds on-demand scan credits, PR and scheduled review workflows, suggested patches, AI-assisted triage, and Winfunc MCP access over the one-time report.
Recurring
Custom
Ideal for
Teams scanning continuously across multiple repositories that want a predictable monthly or annual credit allowance.
What this tier adds
Adds a recurring credit allowance (monthly, or annual with a small discount) plus team access on top of pay-as-you-go capabilities.
Enterprise
Custom
Ideal for
Regulated organizations that need federated login, customer-controlled hosting, or isolated tenancy under a negotiated agreement.
What this tier adds
Adds SSO/SAML and provisioning, customer-controlled hosting and isolated tenant options, customer-managed model credentials, and organization-level security policy — all by agreement.
Where the pricing makes sense
The company stage and team size where winfunc's pricing actually pencils out — and where peers do it cheaper.
The $500 one-time surface scan is the low-commitment entry point, suited to a single scoped review before a release or audit; pay-as-you-go credits fit teams with bursty review needs, and recurring coverage fits teams scanning continuously. Deep scans and Enterprise are quoted by scope, so cost scales with codebase size and control requirements rather than seat count. Against Semgrep's low-cost broad coverage winfunc is more expensive per rule; against a human pentest engagement it is likely
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 developer adding Winfunc MCP to Cursor, Claude Desktop, Windsurf, or Cline, first value is a single editor session — connect and scan a snippet. Pipeline integration via GitHub Actions, GitLab CI, or Jenkins is a CI-config task, typically one sprint, and depends on your existing workflow file. A one-time surface scan delivers as a report and findings workspace, so time-to-value is bounded
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.
- →From Semgrep: run the version-bound audit on the same repository to compare evidence depth against existing rule-based findings before deciding which gate owns which class of issue.
- →From a manual pentest cycle: run a hypothesis scan on the specific claim your last pentest raised, then route the suggested patch PR through normal review.
- →From an SCA-only tool: point dependency scanning at OSV and use the concrete upgrade paths to clear advisory backlog.
- →From GitHub-native code scanning: add diff-scoped PR scanning with blocking gates and SARIF output alongside existing checks.
- ↗To Semgrep: if cheap breadth across many rules matters more than evidence and patch PRs, Semgrep covers more ground at lower cost.
- ↗To a human pentest firm: for judgment calls on business logic and chained exploits, winfunc is explicitly complementary rather than a replacement.
- ↗To a compliance-checklist tool: if you need attestation without suggested code changes, a checklist platform fits better.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “winfunc”, and we withheld 6: 6 could not be judged, because “winfunc” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about winfunc.
Official links
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Featured Head-to-Head Comparisons
Winfunc vs Audioeye
Winfunc and AudioEye serve entirely different needs: Winfunc is an AI security agent for developers who need verified, patchable vulnerability detection, while AudioEye is an accessibility compliance platform for enterprises facing legal risk. Choose Winfunc if you're a security team needing zero-false-positive exploit proofs; choose AudioEye if your priority is ADA/WCAG compliance and reducing lawsuit exposure.
Winfunc vs Sublime Security
Winfunc and Sublime Security serve entirely different domains: code security vs. email security. Choose Winfunc if your priority is automated, verified patching of code vulnerabilities with proof-of-exploit (PoCs). Choose Sublime if your main concern is advanced email threats like BEC/VEC with low false positives. They are complementary, not competitors — most organizations could benefit from both.
Winfunc vs Push Security
Winfunc and Push Security solve different problems. Choose Winfunc if your priority is finding and patching code vulnerabilities with verified PoCs in high-stakes environments. Choose Push Security if you need to detect and block browser-based attacks (like AiTM phishing) and control employee AI tool usage. They are complementary, not competitive.
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Frequently Asked Questions
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