{"slug": "show-hn-zenveil-security-scanning-for-ai-generated-code", "title": "Show HN: Zenveil-Security scanning for AI-generated code", "summary": "ZenVeil, a new security scanning tool, launches to detect vulnerabilities specific to AI-generated code from tools like GitHub Copilot, Cursor, and Claude Code. The tool scans repos in under 30 seconds, opens auto-fix PRs, and targets issues such as hardcoded secrets, missing auth middleware, and dependency confusion that traditional scanners miss.", "body_md": "AI-native DevSecOps · pip install zenveil\n\n# AI writes your code. ZenVeil secures it.\n\nCopilot autocompletes hardcoded secrets. Cursor's multi-file edits leave inconsistent auth checks. Claude Code's long sessions pull outdated, vulnerable dependencies. ZenVeil catches what's specific to each in under 30 seconds and opens the fix as a GitHub PR.\n\nNo signup for public repos\n\n•\n\nRead-only\n\n•\n\nCode never stored\n\n•\n\nResults in seconds\n\nzenveil — ai-native security scan\n\n~\n\n$\n\nzenveil scan github myorg/payments-api\n\n✓\n\nScan complete — 4 findings across 3 scanners\n\n$\n\nzenveil fix ZV-A1B2C3 --auto-pr --repo myorg/payments-api\n\n✓ Opened PR #47: github.com/myorg/payments-api/pull/47\n\nRotated key, purged from history, added to .gitignore\n\nFindings\n\n4 critical caught\n\nTime to fix\n\nPR opened · 12s\n\nScan speed\n\n47 files · 22s\n\nBuilt for teams using AI coding tools\n\nGitHub Copilot\n\nCursor\n\nClaude\n\nTabnine\n\nPython\n\nNode.js\n\nGo\n\nRust\n\nRuby\n\nOWASP Top 10\n\nCVE Database\n\n200+ secret patterns\n\nBy the numbers\n\nSecurity that moves at dev speed.\n\n+27% YoY\n\n83%\n\nof devs use AI coding tools\n\nGitHub Octoverse 2024\n\n14\n\nfindings\n\navg per repo scan\n\nsecrets · CVEs · OWASP\n\n−90% vs. SAST\n\n< 30\n\nseconds\n\nfull scan time\n\nCLI, CI/CD, or browser\n\nauto-PR\n\n1\n\ncommand\n\nauto-fix & open GitHub PR\n\nno manual triage\n\nInternal benchmark, not yet independently verified — largest repo tested so far: ~48,000 files, full scan under 8 minutes.\n\nPositioning\n\n## Where your security stack stops looking.\n\nYour stack was built for code humans wrote. AI generates the same bug classes — hardcoded secrets, missing auth middleware, tokens in localStorage — at higher frequency, in places existing tools weren't tuned to look.\n\nCapability\n\nGitHub Actions\n\nSnyk / Semgrep\n\nClaude / ChatGPT Review\n\nZenVeil\n\nKnown CVE & dependency vulnerabilities\n\nHardcoded API keys, JWT secrets, AWS credentials in source\n\nSensitive routes without authorization middleware\n\nDependency confusion risk in package manifests\n\nAuth tokens written to browser storage (localStorage)\n\nMissing rate limits or verbose error responses on APIs\n\nKnown CVE & dependency vulnerabilities\n\nGitHub Actions\n\nSnyk / Semgrep\n\nClaude / ChatGPT Review\n\nZenVeil\n\nMature scanners own this. ZenVeil intentionally does not — keep yours.\n\nHardcoded API keys, JWT secrets, AWS credentials in source\n\nGitHub Actions\n\nSnyk / Semgrep\n\nClaude / ChatGPT Review\n\nZenVeil\n\nModels commonly inline placeholder-looking secrets that are real. ZenVeil ships rule families tuned for this pattern.\n\nSensitive routes without authorization middleware\n\nGitHub Actions\n\nSnyk / Semgrep\n\nClaude / ChatGPT Review\n\nZenVeil\n\nGenerators forget auth middleware on routes that handle user-scoped data. Detected by static analysis of route handlers.\n\nDependency confusion risk in package manifests\n\nGitHub Actions\n\nSnyk / Semgrep\n\nClaude / ChatGPT Review\n\nZenVeil\n\nAI-generated package.json files commonly mix scoped and unscoped names in ways an attacker can hijack.\n\nAuth tokens written to browser storage (localStorage)\n\nGitHub Actions\n\nSnyk / Semgrep\n\nClaude / ChatGPT Review\n\nZenVeil\n\nAI defaults to localStorage for tokens — a known XSS exfiltration vector. ZenVeil flags this pattern explicitly.\n\nMissing rate limits or verbose error responses on APIs\n\nGitHub Actions\n\nSnyk / Semgrep\n\nClaude / ChatGPT Review\n\nZenVeil\n\nGenerated endpoints often return stack traces and lack rate limiting. ZenVeil probes for both.\n\nDesigned for this\n\nPartial\n\nNot designed for this\n\nOut of scope — use your existing tool\n\nOn the roadmap\n\nHallucinated package detection\n\nIaC misconfiguration scanning\n\nPrompt-injection surface analysis\n\nWe ship what the scanner actually detects today. These are in active development.\n\nGitHub Actions, Snyk, Semgrep, and general-purpose AI reviewers are excellent at what they were built for. We run several of them on our own code. ZenVeil isn't a replacement.\n\nIt's the layer that catches what those tools were never designed to detect — the failure modes that show up when a model writes the code, not a person.\n\nMost teams keep their existing stack and add ZenVeil for the blind spots.\n\nFour example findings · linked to actual ZenVeil scanner rules\n\n## What ZenVeil Actually Finds\n\nExplore real security findings from AI-generated code. See how ZenVeil detects, explains, and helps fix issues before they reach production.\n\nHardcoded secrets\n\nMissing auth checks\n\nSource map exposure\n\nDependency confusion\n\nToken storage risks\n\nRead-only analysis · Code never stored · Findings verified with file-level evidence\n\n1\n\nCritical\n\n2\n\nHigh\n\n2\n\nMedium\n\nFindings · 5 examples\n\nCRITICAL\n\nHardcoded API key assignment\n\nEXAMPLE FINDING\n\nLive-shaped Stripe key in a generated test fixture\n\ntests/fixtures/stripe-customer.json\n\n:\n\n1\n\nFixture committed with a token shaped like sk_live_…. If real, it is now in git history and may need rotation.\n\nWhy AI produces this: Models often pad fixtures with realistic-looking values rather than placeholders. The prefix shape matches a real Stripe secret key.\n\nZenVeil's suggested fix — opens as a PR\n\n-\n\n\"api_key\": \"sk_live_4eC39HqLyjWDarjtT1zdp7dc\"\n\n+\n\n\"api_key\": \"<<-STRIPE_TEST_KEY->>\"\n\n// Resolved from env at test setup\n\nHow the scan works\n\nRead-only analysis\n\nRepos are cloned to an ephemeral sandbox. No write access. No persistence.\n\nCode never stored\n\nSource is deleted after the scan completes. Never used for training.\n\nVerifiable findings\n\nEach finding includes a file path and line you can confirm against the diff.\n\nBuilt for AI-generated code\n\nDetection rules are tuned for the failure modes AI produces at higher frequency.\n\n60 seconds · Sandboxed · First finding free, no signup required\n\nYour code is never stored and never used for training.\n\nEnterprise trust\n\n## Is your code safe with us? Here's the answer.\n\nYou shouldn't need to talk to sales to find out. Here's exactly what happens to your source when ZenVeil scans it.\n\nYour GitHub repo\n\nread-only OAuth scope\n\nEphemeral scan container\n\nspun up per scan, destroyed after\n\nFindings, in memory\n\nnever written to disk\n\nPR opened on your repo\n\nsource code never leaves GitHub\n\nSOC 2\n\nType II in progress\n\nIn progress\n\nGDPR ready\n\nData processing compliant\n\nVerified\n\nCode never stored\n\nArchitecture guarantee\n\nEnforced\n\nRead-only tokens\n\nGitHub OAuth scoped\n\nEnforced\n\nDPA available\n\nOn request for Enterprise\n\nAvailable\n\nsecurity.txt\n\nRFC 9116 compliant\n\nPublished\n\nBuilt on\n\nThe AI agent trust layer\n\n## Every agent writes code differently. Every risk, covered.\n\nA generic \"we support AI tools\" line is an afterthought. Each agent below has a distinct failure pattern — ZenVeil's rule engine is tuned to catch it specifically.\n\nGitHub Copilot\n\nHighest rate of hardcoded secrets in autocomplete suggestions — caught before the commit, not after.\n\nCursor\n\nMulti-file agent edits frequently introduce inconsistent auth checks across touched routes.\n\nClaude Code\n\nLong autonomous sessions can pull outdated dependencies from training data — CVE-checked on every PR.\n\nAlso covered\n\nOpenAI Codex\n\nTask-runner agents commit directly — ZenVeil gates the branch before merge, not after an incident.\n\nGemini\n\nCross-language projects show elevated injection risk at language boundaries — shell, SQL, and template contexts.\n\nBackground CI agents\n\nUnattended by design — ZenVeil is the only reviewer some of these commits will ever get.\n\nHow it works\n\n## From pip install to merged PR\n\nInstalled, scanned, explained, and fixed — in one terminal session.\n\n01 Install\n\nNo account. No config. One line.\n\nZenVeil ships as a standard Python package — install it like anything else in your toolchain.\n\n$\n\npip install zenveil\n\n✓ Installed zenveil-cli\n\n3 free scans/hour, no signup required\n\nCI/CD Integration\n\n## Drop it into any pipeline.\n\nAdd ZenVeil to your GitHub Actions workflow and automatically block PRs that introduce CRITICAL or HIGH severity findings. Security gates that run in seconds, not minutes.\n\nScans complete in under 30 seconds\n\nBlocks merges on HIGH/CRITICAL findings\n\nAuto-opens fix PRs from CI output\n\n.github/workflows/zenveil.yml\n\nBlocks merge on CRITICAL / HIGH\n\nYAML · 28 lines\n\nCapabilities\n\n## Security built for AI-assisted development\n\nAI coding tools write fast and miss security basics. ZenVeil closes the gap — from secret detection to automated PR remediation, across your entire stack.\n\nPR #47 opened · payments-api\n\n−\n\nAWS_KEY = \"AKIA…\"\n\n+\n\nAWS_KEY = os.environ[…]\n\nRotated · Purged · Merged\n\nAuto-fix\n\nFind and fix in one pull request\n\nZenVeil opens the remediation as a reviewable GitHub PR. From finding to merge, in your existing workflow — no dashboard to babysit, no findings to triage by hand.\n\n3 secrets found\n\nSECRETS FOUND · 3\n\nAWS_ACCESS_KEY\n\nAWS\n\nSTRIPE_SECRET_KEY\n\nStripe\n\nGITHUB_TOKEN\n\nGitHub\n\n200+ patterns\n\nSecret detection\n\nAWS keys, GitHub tokens, JWT secrets, and passwords caught before they reach production. Regex + entropy analysis for near-zero false negatives.\n\nosv.dev lookup · 3 matches\n\nCVE lookups\n\nSupply chain security\n\nFloating dependency versions, missing lockfiles, and CVE lookups via OSV.dev. Know exactly what you're shipping before it ships.\n\nexplain · suggest fix\n\nEXPLAIN · SUGGEST FIX\n\nThe localStorage.setItem('token', …) pattern is an XSS exfiltration vector. Suggested fix: httpOnly cookie via server proxy.\n\nDeterministic + LLM\n\nBuilt for AI-generated code\n\nDeterministic detection, LLM-assisted remediation. Our rule engine targets patterns AI generates at higher frequency — over-permissive configs, missing input validation, tokens in localStorage.\n\nEarly Access Feedback\n\n## Real devs. Real findings.\n\nWhat engineers say after running ZenVeil on their first codebase — from indie makers to security teams shipping into regulated environments.\n\n“ZenVeil caught a hardcoded Stripe secret sitting in our prod codebase for 6 months. Our pentester missed it. One command, 18 seconds — found, fixed, PR opened. It's now step one of our onboarding checklist.”\n\nAM\n\nAisha M.\n\nBackend Engineer\n\n“I expected 400 noisy false positives. Instead I got 7 real findings with clear explanations and an auto-PR opened for 4 of them. That's genuinely impressive for a CLI tool.”\n\nJP\n\nJordan P.\n\nSenior Engineer\n\n“Before every investor demo I run ZenVeil. It's a ritual. The peace of mind knowing my repo is clean before due diligence is worth every penny of the subscription.”\n\nSK\n\nSarah K.\n\nFounder, SaaS Startup\n\n“We have a full AppSec team and still run ZenVeil in CI. Fast enough not to block merges. Catches the stuff that slips through PR review — floating deps, exposed tokens, weak configs.”\n\nMC\n\nMarcus C.\n\nSecurity Engineer\n\n“I don't have a security background but the dashboard makes everything legible. What's critical vs what can wait is instantly clear, and the AI explanations make sense to a non-security person.”\n\nPP\n\nPriya P.\n\nFull-Stack Developer\n\n“Vibe-coded a SaaS over a weekend. Ran ZenVeil before going live — it found my Supabase service key in three different files. Fixed in 20 minutes with the patch it suggested. Would've been a disaster.”\n\nTA\n\nTom A.\n\nIndie Maker\n\n“Integrated ZenVeil into GitHub Actions in under 10 minutes. Every PR now gets a security check automatically. Our team security awareness has gone up noticeably — people actually read the findings.”\n\nEV\n\nElena V.\n\nPlatform Engineer\n\n“The AI fix suggestions are shockingly good. It doesn't just tell you what's wrong — it generates the actual patch with context for your specific framework. Saved me a full afternoon on a single finding.”\n\nDO\n\nDavid O.\n\nSoftware Engineer\n\n“The scan results were accurate. My one note: I initially wanted more context on the OWASP mapping for each finding. The update added docs links for every result — that fixed it.”\n\nRM\n\nRyan M.\n\nEarly Access Tester\n\n“In healthtech, one exposed credential is catastrophic. ZenVeil runs nightly and is part of our SOC 2 compliance workflow. The audit logs alone justify the subscription cost.”\n\nRT\n\nRachel T.\n\nBackend Engineer\n\n“The supply chain analysis changed how we think about dependencies entirely. Seeing which packages have unresolved CVEs with severity scores made the whole team more deliberate about what we install.”\n\nAK\n\nAlex K.\n\nSoftware Engineer\n\n“ZenVeil caught a hardcoded Stripe secret sitting in our prod codebase for 6 months. Our pentester missed it. One command, 18 seconds — found, fixed, PR opened. It's now step one of our onboarding checklist.”\n\nAM\n\nAisha M.\n\nBackend Engineer\n\n“I expected 400 noisy false positives. Instead I got 7 real findings with clear explanations and an auto-PR opened for 4 of them. That's genuinely impressive for a CLI tool.”\n\nJP\n\nJordan P.\n\nSenior Engineer\n\n“Before every investor demo I run ZenVeil. It's a ritual. The peace of mind knowing my repo is clean before due diligence is worth every penny of the subscription.”\n\nSK\n\nSarah K.\n\nFounder, SaaS Startup\n\n“We have a full AppSec team and still run ZenVeil in CI. Fast enough not to block merges. Catches the stuff that slips through PR review — floating deps, exposed tokens, weak configs.”\n\nMC\n\nMarcus C.\n\nSecurity Engineer\n\n“I don't have a security background but the dashboard makes everything legible. What's critical vs what can wait is instantly clear, and the AI explanations make sense to a non-security person.”\n\nPP\n\nPriya P.\n\nFull-Stack Developer\n\n“Vibe-coded a SaaS over a weekend. Ran ZenVeil before going live — it found my Supabase service key in three different files. Fixed in 20 minutes with the patch it suggested. Would've been a disaster.”\n\nTA\n\nTom A.\n\nIndie Maker\n\n“Integrated ZenVeil into GitHub Actions in under 10 minutes. Every PR now gets a security check automatically. Our team security awareness has gone up noticeably — people actually read the findings.”\n\nEV\n\nElena V.\n\nPlatform Engineer\n\n“The AI fix suggestions are shockingly good. It doesn't just tell you what's wrong — it generates the actual patch with context for your specific framework. Saved me a full afternoon on a single finding.”\n\nDO\n\nDavid O.\n\nSoftware Engineer\n\n“The scan results were accurate. My one note: I initially wanted more context on the OWASP mapping for each finding. The update added docs links for every result — that fixed it.”\n\nRM\n\nRyan M.\n\nEarly Access Tester\n\n“In healthtech, one exposed credential is catastrophic. ZenVeil runs nightly and is part of our SOC 2 compliance workflow. The audit logs alone justify the subscription cost.”\n\nRT\n\nRachel T.\n\nBackend Engineer\n\n“The supply chain analysis changed how we think about dependencies entirely. Seeing which packages have unresolved CVEs with severity scores made the whole team more deliberate about what we install.”\n\nAK\n\nAlex K.\n\nSoftware Engineer\n\n“The supply chain analysis changed how we think about dependencies entirely. Seeing which packages have unresolved CVEs with severity scores made the whole team more deliberate about what we install.”\n\nAK\n\nAlex K.\n\nSoftware Engineer\n\n“In healthtech, one exposed credential is catastrophic. ZenVeil runs nightly and is part of our SOC 2 compliance workflow. The audit logs alone justify the subscription cost.”\n\nRT\n\nRachel T.\n\nBackend Engineer\n\n“The scan results were accurate. My one note: I initially wanted more context on the OWASP mapping for each finding. The update added docs links for every result — that fixed it.”\n\nRM\n\nRyan M.\n\nEarly Access Tester\n\n“The AI fix suggestions are shockingly good. It doesn't just tell you what's wrong — it generates the actual patch with context for your specific framework. Saved me a full afternoon on a single finding.”\n\nDO\n\nDavid O.\n\nSoftware Engineer\n\n“Integrated ZenVeil into GitHub Actions in under 10 minutes. Every PR now gets a security check automatically. Our team security awareness has gone up noticeably — people actually read the findings.”\n\nEV\n\nElena V.\n\nPlatform Engineer\n\n“Vibe-coded a SaaS over a weekend. Ran ZenVeil before going live — it found my Supabase service key in three different files. Fixed in 20 minutes with the patch it suggested. Would've been a disaster.”\n\nTA\n\nTom A.\n\nIndie Maker\n\n“I don't have a security background but the dashboard makes everything legible. What's critical vs what can wait is instantly clear, and the AI explanations make sense to a non-security person.”\n\nPP\n\nPriya P.\n\nFull-Stack Developer\n\n“We have a full AppSec team and still run ZenVeil in CI. Fast enough not to block merges. Catches the stuff that slips through PR review — floating deps, exposed tokens, weak configs.”\n\nMC\n\nMarcus C.\n\nSecurity Engineer\n\n“Before every investor demo I run ZenVeil. It's a ritual. The peace of mind knowing my repo is clean before due diligence is worth every penny of the subscription.”\n\nSK\n\nSarah K.\n\nFounder, SaaS Startup\n\n“I expected 400 noisy false positives. Instead I got 7 real findings with clear explanations and an auto-PR opened for 4 of them. That's genuinely impressive for a CLI tool.”\n\nJP\n\nJordan P.\n\nSenior Engineer\n\n“ZenVeil caught a hardcoded Stripe secret sitting in our prod codebase for 6 months. Our pentester missed it. One command, 18 seconds — found, fixed, PR opened. It's now step one of our onboarding checklist.”\n\nAM\n\nAisha M.\n\nBackend Engineer\n\n“The supply chain analysis changed how we think about dependencies entirely. Seeing which packages have unresolved CVEs with severity scores made the whole team more deliberate about what we install.”\n\nAK\n\nAlex K.\n\nSoftware Engineer\n\n“In healthtech, one exposed credential is catastrophic. ZenVeil runs nightly and is part of our SOC 2 compliance workflow. The audit logs alone justify the subscription cost.”\n\nRT\n\nRachel T.\n\nBackend Engineer\n\n“The scan results were accurate. My one note: I initially wanted more context on the OWASP mapping for each finding. The update added docs links for every result — that fixed it.”\n\nRM\n\nRyan M.\n\nEarly Access Tester\n\n“The AI fix suggestions are shockingly good. It doesn't just tell you what's wrong — it generates the actual patch with context for your specific framework. Saved me a full afternoon on a single finding.”\n\nDO\n\nDavid O.\n\nSoftware Engineer\n\n“Integrated ZenVeil into GitHub Actions in under 10 minutes. Every PR now gets a security check automatically. Our team security awareness has gone up noticeably — people actually read the findings.”\n\nEV\n\nElena V.\n\nPlatform Engineer\n\n“Vibe-coded a SaaS over a weekend. Ran ZenVeil before going live — it found my Supabase service key in three different files. Fixed in 20 minutes with the patch it suggested. Would've been a disaster.”\n\nTA\n\nTom A.\n\nIndie Maker\n\n“I don't have a security background but the dashboard makes everything legible. What's critical vs what can wait is instantly clear, and the AI explanations make sense to a non-security person.”\n\nPP\n\nPriya P.\n\nFull-Stack Developer\n\n“We have a full AppSec team and still run ZenVeil in CI. Fast enough not to block merges. Catches the stuff that slips through PR review — floating deps, exposed tokens, weak configs.”\n\nMC\n\nMarcus C.\n\nSecurity Engineer\n\n“Before every investor demo I run ZenVeil. It's a ritual. The peace of mind knowing my repo is clean before due diligence is worth every penny of the subscription.”\n\nSK\n\nSarah K.\n\nFounder, SaaS Startup\n\n“I expected 400 noisy false positives. Instead I got 7 real findings with clear explanations and an auto-PR opened for 4 of them. That's genuinely impressive for a CLI tool.”\n\nJP\n\nJordan P.\n\nSenior Engineer\n\n“ZenVeil caught a hardcoded Stripe secret sitting in our prod codebase for 6 months. Our pentester missed it. One command, 18 seconds — found, fixed, PR opened. It's now step one of our onboarding checklist.”\n\nAM\n\nAisha M.\n\nBackend Engineer\n\nAM\n\nJP\n\nSK\n\nMC\n\nPP\n\nTA\n\nEV\n\nEarly Access — free to try\n\nJoin them. Ship securely.\n\nScan your first repo in under 30 seconds — no config, no credit card, no excuses.\n\n✓\n\nFree forever plan\n\n✓\n\nNo credit card\n\n✓\n\npip install zenveil\n\nZenVeil\n\nSimple pricing\n\nStart free. Upgrade when you need it.\n\nOne finding on a free scan can save you from a breach that costs thousands. Enterprise plans include SSO, audit log, and private deployment.\n\n[See a real finding](/demo)\n\nFree\n\n$0\n\n/forever\n\nFor developers who want to check a repo now.\n\n[Scan a repo](#scanner)\n\n3 public repo scans / hour\n\nAll finding categories\n\nSeverity-ranked results\n\nSecrets, deps, CI/CD, headers\n\nEmail report\n\nPrivate repositories\n\nAI explain & fix\n\nAuto-PR remediation\n\nScan history\n\nCI/CD webhook\n\nPro\n\n$19\n\n/per month\n\nFor developers who ship fast and can't afford breaches.\n\n[Get Pro](/dashboard?upgrade=pro)\n\nUnlimited scans\n\nPublic & private repos\n\nAll finding categories\n\nAI explain — why it's dangerous\n\nAI fix — generated patch\n\nAuto-PR remediation\n\nScan history (90 days)\n\nEmail alerts on new findings\n\nTeam seats\n\nPDF compliance reports\n\nCI/CD webhook\n\nTeam\n\n$59\n\n/per month\n\nFor engineering teams that need coverage across every repo.\n\n[Contact us](/cdn-cgi/l/email-protection#c4aca1a8a8ab84bea1aab2a1ada8eaa0a1b2fbb7b1a6aea1a7b0f99ea1aa92a1ada8e490a1a5a9e494a8a5aa)\n\nEverything in Pro\n\nUp to 5 team members\n\nUnlimited private repos\n\nCI/CD webhook integration\n\nPDF compliance reports\n\nSlack & email alerts\n\nPriority support\n\nCustom scan policies\n\nEnterprise\n\nCustom\n\n/talk to us\n\nFor platform and security teams shipping under compliance.\n\n[Contact sales](/cdn-cgi/l/email-protection#88e0ede4e4e7c8f2ede6feede1e4a6ecedfeb7fbfdeae2edebfcb5d2ede6deede1e4a8cde6fcedfaf8fae1fbed)\n\nEverything in Team\n\nUnlimited seats\n\nSSO / SAML\n\nAudit log & role-based access\n\nPrivate / on-prem deployment\n\nCustom detection policies\n\nDPA & subprocessor list\n\nDedicated support\n\nAll plans include a 7-day free trial on paid features. No credit card required for Free.\n\nCommon questions\n\nEverything you need to know\n\nQuick answers to the questions developers ask before they trust a security tool with their code.\n\nDoes ZenVeil upload my source code?\n\n**not stored on our servers** after the scan completes. See our\n\n[Security & Privacy](/security)page for full details.\n\nHow is ZenVeil different from Snyk, Semgrep, or GitGuardian?\n\nWhat languages and ecosystems does ZenVeil support?\n\nCan ZenVeil scan private repositories?\n\nWhat happens when ZenVeil finds a vulnerability?\n\nDoes ZenVeil scan test files?\n\nIs there a free tier? What are the limits?\n\nWhy do AI features require a paid plan?\n\nWhat AI models power ZenVeil?\n\nIs ZenVeil production-ready?\n\nStill have questions?\n\nOur team responds within 24 hours. We read every message and use feedback to improve the product.\n\n[email protected]", "url": "https://wpnews.pro/news/show-hn-zenveil-security-scanning-for-ai-generated-code", "canonical_source": "https://zenveil.dev", "published_at": "2026-07-14 02:06:21+00:00", "updated_at": "2026-07-14 02:18:38.816417+00:00", "lang": "en", "topics": ["ai-tools", "ai-safety", "developer-tools", "ai-products"], "entities": ["ZenVeil", "GitHub Copilot", "Cursor", "Claude Code", "GitHub", "Snyk", "Semgrep"], "alternates": {"html": "https://wpnews.pro/news/show-hn-zenveil-security-scanning-for-ai-generated-code", "markdown": "https://wpnews.pro/news/show-hn-zenveil-security-scanning-for-ai-generated-code.md", "text": "https://wpnews.pro/news/show-hn-zenveil-security-scanning-for-ai-generated-code.txt", "jsonld": "https://wpnews.pro/news/show-hn-zenveil-security-scanning-for-ai-generated-code.jsonld"}}