Your enterprise team used Claude, Cursor, or ChatGPT to build internal tools, automate workflows, or prototype new systems. That code is running in production — or about to be. Get an objective Code Health Score before a security incident does it for you.
AI tools like Claude, Cursor, and ChatGPT write functional code fast. But enterprise systems have security requirements, compliance obligations, and scale expectations that AI tools don’t automatically satisfy.
The entire process is automated. No sales call required. No waiting for a quote. Your Code Health Score arrives by email before you finish your next meeting.
5 fields, 30 seconds. GitHub URL, AI tool used, current status, production status, and email. That’s it.
LLL’s AI engine runs security analysis, architecture review, and performance assessment. No human required at this stage.
Code Health Score A–F. Critical / High / Medium issue counts. Top concern identified. Next steps recommended. In 10–30 minutes.
Your repository is deleted from our systems after scanning. Zero obligation to proceed. The score and findings are yours regardless.
Every enterprise codebase gets graded on security, architecture, and scalability. No vague “recommendations” — a letter grade you can present to your CTO or board.
Most enterprise AI-generated systems score D or E without independent review
The free scan tells you what’s wrong. Everything after that is your choice. You can stop after the free scan, get a detailed report, or fix the issues entirely. No obligation at any step.
Every step is optional. Stop at any point. All code and findings are yours at every stage.
Enterprise security audits are designed for large, stable systems — not for AI-generated code that needs a quick health check before rollout. LLL AI Rescue is designed specifically for this gap.
LLL isn’t a security consultancy that learned about AI tools last year. We run production SaaS products built with AI — and we’ve catalogued every failure pattern that causes enterprise incidents.
Fortrain (AI-powered security training for enterprise) is built and operated by the same team. We identify AI-generated code failure patterns because we’ve encountered them in our own codebase first. This is operational knowledge, not theoretical.
80% of the diagnostic work is automated by AI — which is how we can offer a free scan and a $500 detailed report while a traditional security audit starts at $5K. Lower cost does not mean lower quality. It means lower overhead.
Enterprise AI-generated code fails in specific, predictable patterns: auth shortcuts, missing rate limiting, unindexed queries, PDPA-relevant data handling gaps. Our scanner is tuned for exactly these enterprise failure modes — not generic open-source CVEs.
Your repository is deleted from LLL systems after scanning. For enterprise teams with sensitive codebases: NDA available before any scan, read-only access only, and results shared only with you. If your IT policy requires it, we work within your governance requirements.
5 fields. 30 seconds to fill. Code Health Score A–F arrives by email in 10–30 minutes. Your repository is deleted after scanning. No sales call. No obligation.
Results in 10–30 min · No sales call · Repo deleted after scan
Your Code Health Score will arrive by email in 10–30 minutes. Your repository will be deleted from our systems after scanning.
Free. No sales call. No commitment. Results by email in 10–30 minutes. Your repository deleted after scanning.
$0 entry · A–F health score · Repo deleted · Results in 30 min