You used Claude, Cursor, or ChatGPT to build your payment flow, KYC module, or FinTech API. It works. But does it handle your users’ financial data the way Singapore expects? Get an objective Code Health Score — free, in 30 minutes — before you find out the hard way.
AI tools write functional FinTech code fast. But FinTech has specific security obligations, compliance-ready architecture requirements, and data handling standards that AI tools don’t automatically satisfy.
AI-generated auth code frequently skips edge-case validation and introduces privilege escalation paths. In most FinTech AI code we scan, we find at least one critical auth issue. You need to know before users transact.
Compliance-ready architecture for Singapore FinTech is an architecture decision, not a checkbox. AI tools don’t know your MAS TRM context when they write your payment flow. The scan shows you what needs to change.
PDPA obligations apply to financial PII — account numbers, transaction history, identity data. AI-generated code commonly logs, stores, or transmits PII in ways that create compliance exposure the developer didn’t intend.
A traditional security audit costs $5K–$20K and takes 1–4 weeks. LLL’s free auto scan delivers a Code Health Score in 30 minutes — enough to know whether you need urgent attention before launch.
The entire auto scan process is automated. No sales call. No waiting for a quote. Your Code Health Score arrives before your next meeting.
5 fields, 30 seconds. GitHub URL, AI tool used, current status, production status, and your email. NDA available on request before you share.
LLL’s engine runs FinTech-tuned security analysis: payment flow, auth layer, PII handling, compliance-ready architecture, and performance. No human needed yet.
Code Health Score A–F. Critical / High / Medium counts. Your top FinTech-specific concern identified. Next steps recommended. In 10–30 minutes.
Your repository is deleted from LLL systems after scanning. Zero obligation to proceed. The score and findings are yours regardless of what you do next.
Not a generic security checklist. A FinTech-specific score with the actual issues your AI-generated payment and compliance architecture introduced.
Needs Attention — action required before production
We found:
• 3 Critical issues — require immediate attention
• 7 High issues — address before production launch
• 4 Medium issues — address in next sprint
Traditional security audits are designed for established, large codebases — not for AI-generated FinTech code that needs a quick health check before launch. LLL AI Rescue is built specifically for this gap.
The free scan tells you what’s wrong. Everything after is your choice. Stop at the free scan, get a detailed report, or fix the issues. No obligation at any step.
Every step optional. Stop any time. All code and findings are yours at every stage.
Any team can claim to understand AI-generated code security. Very few have a production security SaaS built by the same team that scans yours. We do.
Fortrain (AI-powered targeted email security training for enterprise) is built and operated by the same LLL engineers who will scan your code. Security-conscious architecture is how we build every day. When we find a vulnerability in your payment flow, we’re applying the same standards we hold our own production SaaS to.
LLL engineers use Claude, Cursor, and GitHub Copilot daily to build our own products. We’ve catalogued the specific failure patterns each tool introduces — Claude’s over-abstraction, Cursor’s missing error boundaries, GPT’s simplified auth logic. Our scanner is tuned for all of them.
General security scanners look for known CVEs in dependencies. LLL AI Rescue looks for FinTech-specific patterns: payment token handling, KYC data exposure, PII logging, missing rate limiting on financial endpoints. These are architecture decisions, not library vulnerabilities — they require an engineer to identify.
We sign the NDA before you share anything. Your repository is cloned for scanning and deleted within 1 hour of the scan completing. No retention. No third-party storage. No SaaS intermediaries. For Singapore FinTech teams with sensitive codebases, these aren’t optional — they’re baseline.
5 fields. 30 seconds to fill. Code Health Score A–F arrives by email in 10–30 minutes. Repo deleted after scan. No obligation to proceed.
Results in 10–30 min · Repo deleted after scan · No sales call · No obligation
Your Code Health Score will arrive by email in 10–30 minutes. Your repository will be deleted from our systems after scanning. No action required from you.
5 fields. 30 seconds. Code Health Score A–F by email in 10–30 minutes. Repo deleted after scan. No sales call. No obligation.
$0 entry · 30-min results · Repo deleted · FinTech-specific · No obligation