Prbl
AI code security scanner that finds vulnerabilities in AI-generated code and fixes them with verified diffs.
Prbl is worth 60 seconds of anyone's time: the free scan needs no account, and it will surface real flaws if you actually ship AI-generated code. The rewriter loop — where a captured behavioral baseline proves the fix didn't break the feature — is the part worth paying for and the part competitors don't do. Judge it as an add-on alongside Snyk, Semgrep or CodeQL, not a swap for them. If your problem is dependency CVEs, or your codebase has no AI-generated code at all, this isn't your tool and the free tier will tell you so quickly.
Verified 5d ago · liveness 61/100 · cite: rightaichoice.com/tools/prbl
- Teams shipping production apps built with Cursor, Copilot, Bolt, Lovable or Claude
- Vibe coders who need a security pass before deploying AI-generated code
- SaaS startups collecting scan history and audit logs ahead of SOC 2
- Security teams that want open-source, auditable scanner rules
- Codebases with no AI-generated code — your existing SAST already covers you
- Teams whose main gap is dependency CVE scanning — use Snyk or Dependabot
- Anyone wanting a single full CI/CD security suite rather than a specialist layer
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3 free scans · no card needed
Skip Prbl if your codebase has no AI-generated code, or if what you actually need is dependency CVE coverage — this scanner asks one narrow question and the free scan will tell you in a minute whether it applies to you.
The fix-verify loop is the paid part, so every finding you want corrected means upgrading off the free scan.
Free gets you 10 scans a month and 3 repos with file-and-line findings. Pro at $29/mo suits one developer who wants the rewriter loop and unlimited repos. Team at $99/mo fits up to 10 people who need a shared dashboard and audit log. Enterprise, starting at $500/mo and scaling with usage, is for organizations that need unlimited seats and SSO. It's priced as a layer beside Snyk or Semgrep, not as a replacement for them.
In short
Prbl — AI code security scanner that finds vulnerabilities in AI-generated code and fixes them with verified diffs. Best for Teams shipping production apps built with Cursor, Copilot, Bolt, Lovable or Claude, Vibe coders who need a security pass before deploying AI-generated code, SaaS startups collecting scan history and audit logs ahead of SOC 2. Free to start; paid plans from $29/mo.
What people actually say about Prbl — is it worth it?
We scanned public community sources for Prbl on Jul 2, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Prbl? 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
- Detects AI-generated files and lines from Cursor, Copilot, Bolt, Lovable and Claude
- Scans the AI-human code seam for vulnerabilities
- Detects hardcoded credentials in generated code
- Detects SQL injection via string concatenation
- Detects missing access control on AI-scaffolded CRUD routes
- Detects fallback secrets in environment variable lookups
- Detects timing-unsafe webhook signature comparisons
- Detects JWT decode without signature verification
- AI rewriter applies minimal fixes and shows a clean diff for approval
- Captures behavioral baseline before fixing to prove nothing breaks
- Rescans to confirm the finding is gone
- Free scan with no account required, results in about 60 seconds
- GitHub Action scans every push and PR and can fail the build on high-severity findings
- CodeQL static analysis integration
- pip-audit audits Python packages
About Prbl
Prbl is a security scanner built around one question general-purpose tools don't ask: did an AI coding tool write this code, and does it carry the gaps AI tools leave behind? You paste a live app URL or a public repo and Prbl flags the exact file and line — hardcoded credentials, SQL injection via string concatenation, missing auth checks on AI-scaffolded CRUD routes, fallback secrets in environment variable lookups, timing-unsafe webhook signature comparisons, and JWT decode without signature verification. The first scan runs free with no account and results land in about 60 seconds. The paid part is the fix-verify loop. Prbl captures a behavioral baseline of what your functions actually do, the AI rewriter applies a minimal fix, behavior is validated against that baseline, and a rescan confirms the finding is gone. You approve a clean diff before anything merges. Prbl positions itself as a specialist layer that runs alongside Semgrep, Snyk, CodeQL and pip-audit rather than replacing them, and its scanner rules are open-source and auditable. Its own research scanned 976 GitHub repos linked from Hacker News and found 31.6% carried a high-severity flaw. If your dependency CVE coverage is already handled elsewhere, that narrowness is the point.
Behind the Verdict
Prbl's core insight is a real gap in the scanner market. General SAST tools are tuned to find injection and crypto issues and to catch known CVEs in dependencies; almost none of them ask whether a route requires authentication at all, or whether an environment-variable lookup has a `|| 'dev-secret'` fallback that becomes a public production key the moment someone deploys without the variable set. Prbl makes those three patterns — AI-scaffolded routes with no auth check, fallback secrets, and `===` signature comparison on webhooks — the center of the pitch, and they are exactly the mistakes an LLM makes when it generates working-but-unsafe scaffolding. The fix-verify loop is the more interesting engineering. Anyone can hand an LLM a finding and ask for a patch; the hard part is knowing the patch didn't break the feature. Prbl captures a behavioral baseline of your functions before touching anything, validates the rewritten code against it, then rescans to confirm the finding is gone — and you approve the diff rather than auto-merging. That's a credible reason to move off the free tier, and the vendor says so plainly rather than dressing it up. Where it fits: teams shipping production apps built with Cursor, Copilot, Bolt, Lovable or Claude, and vibe coders who want a security pass before deploying. Where it doesn't: codebases with no AI-generated code (your existing SAST already covers you), teams whose real gap is dependency CVEs (use Snyk or Dependabot), and anyone expecting a full CI/CD security suite. The scanner accepts a pasted app URL or a public repo URL; there's a GitHub Action that runs on every push and PR and can fail the build on high-severity findings. Prbl doesn't claim to be a Semgrep replacement and explicitly tells you to keep your existing tools running alongside it — that honesty is worth more than a broader feature list would be.
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Real-world workflow fit
Concrete scenarios for the personas Prbl actually fits — and what changes day-one when you adopt it.
Paste the live app URL into Prbl before deploying. The free scan returns the exact file and line — a hardcoded key in a migration file, a login route using string-concatenated SQL.
Outcome: You see the finding in about 60 seconds without creating an account, and decide whether it's worth paying for the rewriter to patch it.
Connect the repo through the GitHub Action so every push and PR is scanned. Put Snyk or Dependabot alongside it for dependency CVEs, since Prbl checks the code AI tools wrote rather than known package vulnerabilities.
Outcome: Scan history and audit logs accumulate, and the build can fail automatically on high-severity findings before they merge.
Run Prbl alongside existing Semgrep rules to surface the classes general scanners typically skip — missing auth on scaffolded CRUD routes, fallback secrets, weak webhook signature comparison.
Outcome: Targeted findings land with locations, and fixes go through the baseline-verify-rescan loop with a diff approved before merge.
Use Cases
- Scan any public GitHub repo for AI-generated vulnerabilities in under 60 seconds, free and without an account.
- Catch missing authentication on AI-scaffolded CRUD routes before they reach production.
- Find fallback secrets such as JWT_SECRET || 'default_secret' that become predictable production keys.
- Audit AI-generated code for common security gaps ahead of a SOC 2 review.
- Confirm that an automated fix preserves baseline behavior before approving the diff.
- Fail a CI build automatically when a push or PR introduces a high-severity finding.
Models Under the Hood
as of 2026-09-26
Limitations
- Prbl accepts a pasted app URL or a public repo URL and requires no account for the free scan, with results in about 60 seconds.
- The AI rewriter that applies fixes, plus behavioral-baseline verification and the rescan that confirms the finding is gone, is the paid part of the product.
- Prbl is explicitly a specialist layer — it asks whether an AI tool wrote the code and whether that code has the gaps AI tools leave behind, and the vendor tells you to keep Semgrep, Snyk or CodeQL running alongside it.
- It is not a replacement for general SAST or dependency CVE coverage.
- Correcting a finding requires moving up from the free scan.
as of 2026-10-03
Verification history
We have re-verified Prbl 8 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-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
Showing the 6 most recent of 8 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 Prbl tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
A developer who wants a one-off look at whether an AI-built repo carries obvious findings, with no account or card required.
What this tier adds
Starting tier: 10 scans a month, file and line-level findings, open-source scanner rules, 3 repos, and a GitHub Action that scans every push and PR.
Pro
$29/mo
Ideal for
A solo developer or small team that wants findings corrected, not just listed, and needs unlimited repos to do it.
What this tier adds
Adds the AI rewriter with 50 credits a month for applied and verified fixes, 200 scans a day, unlimited repos, scan history and audit logs, and a GitHub Action that can fail the build on high-severity findings.
Team
$99/mo
Ideal for
A team of up to 10 shipping AI-generated code together and needing one shared view of findings and fixes.
What this tier adds
Raises capacity to 1,000 scans a day and 200 rewriter credits a month, and adds 10 team members, a shared dashboard and priority support.
Enterprise
$500/mo starting, scales with usage
Ideal for
An organization that needs unlimited seats, SSO and audit logs, and a higher rewriter volume than the Team tier allows.
What this tier adds
Adds 1,000+ rewriter credits a month, unlimited team members, SSO and audit logs, and dedicated support on top of everything in Team.
Where the pricing makes sense
The company stage and team size where Prbl's pricing actually pencils out — and where peers do it cheaper.
Free gets you 10 scans a month and 3 repos with file-and-line findings. Pro at $29/mo suits one developer who wants the rewriter loop and unlimited repos. Team at $99/mo fits up to 10 people who need a shared dashboard and audit log. Enterprise, starting at $500/mo and scaling with usage, is for organizations that need unlimited seats and SSO. It's priced as a layer beside Snyk or Semgrep, not as a replacement for them.
Setup time & first value
How long it actually takes to get something useful out of Prbl — broken out by persona, not the marketing-page minute.
Free scan: about 60 seconds to paste an app or repo URL and get findings — no account needed. Adding the GitHub Action to scan pushes and PRs: a few minutes to wire into the repo. Connecting the rewriter loop: one upgrade step, then each fix runs through baseline capture, application, verification and rescan before you approve the diff.
Switching to or from Prbl
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual code review: run the free scan first to see which AI-generated files carry findings, then use the rewriter loop to patch them with baseline verification.
- ↗To a general SAST platform: keep Prbl running alongside rather than migrating off it, since it targets AI-authored code and not the injection and crypto classes your SAST already covers.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Prbl”, and we withheld 6: 6 could not be judged, because “Prbl” 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 Prbl.
Official links
Tools that pair well with Prbl
Common stack mates teams adopt alongside Prbl, with the specific reason each pairing earns its keep.
Snyk DeepCode AI
Snyk DeepCode AI finds, autofixes and prioritizes vulnerabilities in human-written and AI-generated code.
OpenHack
Open-source AI security agent that finds, verifies, and fixes vulnerabilities in your code and live apps.
Strix
Autonomous AI pentesting that finds, validates, and auto-fixes vulnerabilities across code, APIs, cloud, and infrastructure.
Featured Head-to-Head Comparisons
Prbl vs Push Security
Choose Push Security if your priority is defending against browser-based attacks (AiTM phishing, session hijacking) and controlling AI tool usage in real-time. Choose Prbl if you're a developer using AI code generators and need to catch vulnerabilities where AI code meets human code. They solve fundamentally different problems — one is for security teams, the other for engineers.
Prbl vs Audioeye
These tools address entirely different problems — security for AI-generated code vs. web accessibility — so choose based on your compliance need. Prbl is freemium and laser-focused on scanning seams where AI code meets human code; AudioEye is a paid enterprise suite for ADA/WCAG compliance with human audits. There is no overlap: pick Prbl if you ship AI-generated code, pick AudioEye if you need accessibility compliance.
Prbl vs Sublime Security
For security-conscious development teams using AI code generators, Prbl offers targeted scanning at AI-human seams with a freemium model. For SOC analysts combatting advanced email threats like BEC, Sublime Security provides low-false-positive AI detection with custom rules. The choice hinges on your attack surface: code vs. email.
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Snyk DeepCode AI
Snyk DeepCode AI finds, autofixes and prioritizes vulnerabilities in human-written and AI-generated code.
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