Patchdex VS ScanLabsAI

ScanLabsAI's answer:

Mostly on pricing model and on what happens after the scan.

No subscription. Enterprise scanners typically start in the hundreds or thousands per year and assume you're scanning continuously. ScanLabsAI runs on credits you buy once and that never expire — £9.99 for 5, £24.99 for 15, £69.99 for 50. A standard scan is 1 credit, a deep scan is 5. If you audit a handful of sites a few times a year, you pay for a handful of scans rather than a year of seat licences. The first scan of every website is free, so you can judge the output before spending anything.

It doesn't stop at the report. Free scanners give you a grade; paid scanners give you a PDF backlog. ScanLabsAI's MCP server connects the scan directly to Claude, so the findings can be fixed in your codebase in the same session. Every paid scan also includes a free 30-day rescan code so you can verify the fix actually worked without paying twice.

It's built for the current attack surface. OWASP API Security Top 10 and OWASP Top 10 for LLM Applications, leaked AI/LLM provider key detection, exposed agentic-tooling configs, GraphQL introspection and JWT checks — alongside conventional CVE, SSL/TLS, header and DNS analysis, up to 40,000+ vectors on a deep scan.

You don't need to be a security engineer. Findings come with severity ratings, plain-English explanations and step-by-step remediation, and the PDF is written so you can hand it straight to a developer or a client.

Where it isn't the right choice: if you need authenticated scanning of internal or intranet applications, continuous CI-gated DAST across a large estate, or formal compliance certification, a full enterprise DAST platform will fit better. ScanLabsAI scans publicly reachable sites and is aimed at founders, developers and agencies auditing client sites — the Agency plan adds white-label reports, team members, scheduled scans and GitHub code scanning for that use case.

ScanLabsAI's answer:

Two things set ScanLabsAI apart.

First, it runs inside your AI assistant. ScanLabsAI ships a remote MCP server, so you can connect it to Claude and say "scan mysite.com and fix what you find" — the scan runs, Claude reads the full report, looks up the relevant CVEs, and then fixes the issues in your codebase, all in one conversation. Most scanners hand you a PDF and leave the remediation to you.

Second, the coverage is unusually modern. Alongside the standard OWASP Top 10, SSL/TLS and security header checks, the engine tests the OWASP API Security Top 10 and the OWASP Top 10 for LLM Applications (2025), detects leaked AI/LLM provider keys and exposed agentic-tooling configs, and checks GraphQL introspection in production and JWT security. That's a real gap in most website scanners, which were built before AI-era attack surface existed.

Practically, it's also easy to try: the first scan of every website is free with no account, results are written in plain English with step-by-step fixes, and there's no subscription — you buy AI credits once and they never expire.

ScanLabsAI's answer:

Four groups, roughly in order of size.

Founders and small teams running their own site. People who know their site should be checked but don't have a security engineer and can't justify an enterprise contract. They want a clear answer to "is anything obviously wrong here, and what do I do about it" — hence the plain-English findings and the free first scan.

Developers and indie hackers. Usually shipping on Next.js, React, WordPress or Shopify, and often finding us through the MCP server. This group wants the scan wired into the tools they already work in, so they can go from finding to fix without switching context.

Web agencies, IT consultancies and MSPs. They're scanning client sites rather than their own, and they need something client-presentable. The Agency plan is built for them: white-label PDF reports, team members, scheduled scans, GitHub code scanning, 50 client sites a month.

Anyone doing pre-launch or pre-handover due diligence. Checking a site before it goes live, before a client sign-off, or before a purchase. The free rescan code within 30 days matters most to this group — fix, rescan, confirm.

Geographically we're UK-based with a mostly English-speaking, international user base. Technical depth varies widely, which is why reports carry both severity ratings and remediation steps written to be followed without a security background.

ScanLabsAI's answer:

Frontend: React with Next.js, server-rendered for speed and SEO. The scan interface, dashboards and public report pages all run on it, and it's a PWA so it installs and behaves well on mobile.

Infrastructure: Google Cloud, with Firebase for authentication, data and real-time scan state. Deep scans run as background jobs, which is why you can close the tab mid-scan and get an email and browser push notification when the report is ready.

AI layer: Google Gemini, used for contextual analysis rather than rule-matching. It correlates findings across a scan to identify attack chains, prioritises by real-world risk, and generates remediation guidance tailored to the stack detected on the target site. Results are mapped against OWASP Top 10 for Web, API Security Top 10 and LLM Applications Top 10 (2025).

Scanning engine: the ScanLabsAI Advanced Security Engine — our own work rather than a wrapper around an off-the-shelf scanner. It bundles custom SSL/TLS analysers, extended security header checks (including COOP, CORP and COEP), DNS security analysis, GraphQL and JWT testing, AI/LLM provider key leak detection and outdated-framework fingerprinting, covering 40,000+ vectors on a deep scan. All checks are non-intrusive and read-only — the scanner behaves like an ordinary visitor and never attempts exploitation.

Integrations: a remote MCP server over HTTP at https://scanlabsai.com/api/mcp, which is what lets Claude and other MCP clients run scans and read reports directly. Stored reports are encrypted with AES-256-GCM, and reports are generated as PDFs for download and white-label use.

ScanLabsAI's answer:

ScanLabsAI came out of a gap that's obvious once you've sat on both sides of it.

Website security tooling has been split in two for years. At one end, free checkers that give you a letter grade and a list of missing headers — useful for thirty seconds, then you're on your own. At the other, enterprise platforms priced per seat per year, built for security teams that already exist. If you're a founder, a solo developer, or an agency looking after twenty client sites, neither one fits. You end up either guessing, or paying for an annual contract to run four scans.

The second problem was what happened after the scan. Even good scanners end at a PDF. Someone still has to read forty findings, work out which three actually matter, translate them into changes in the codebase, and then verify the fix worked. That translation step is where most security reports quietly die.

So ScanLabsAI was built around two decisions. Price it per scan, not per year, with the first scan of every site free — credits you buy once and that never expire. And connect the report to the place the fixing happens: the MCP server means you can tell Claude "scan mysite.com and fix what you find", and the scan, the CVE lookup and the code change all happen in one conversation.

The third thing that shaped it was timing. The attack surface changed. Sites now ship API layers, GraphQL endpoints, JWTs, and increasingly LLM integrations with provider keys that end up somewhere they shouldn't. Most website scanners were designed before any of that existed. Building the engine now meant we could cover OWASP's API Security and LLM Applications Top 10s alongside the classic web checks from the start, rather than bolting them on.

That's also why the Intel Hub exists — a free CVE library, live threat map and remediation guides, no account needed. The scanner is the paid product, but the underlying view is that most sites get compromised through things that were knowable and fixable, and information shouldn't be the bottleneck.