🌱Lorikeet Security: The Manual Pentest That Found What AI Missed
Flowtriq's AI audit closed real vulnerabilities. Lorikeet's manual pentest still found five more in the running system. Here's what that means for your security stack in 2026.
The Security Stack That Growth Teams Are Missing in 2026
Most growth stacks have analytics, attribution, CRM, and automation covered. Security is the gap — and as AI-assisted development becomes standard, the shape of that gap is changing in ways that matter to anyone responsible for protecting customer data and brand trust.
The Lorikeet Security case study with Flowtriq is one of the clearest examples we've seen of how modern security coverage actually works, and why two tools are better than one.
What the Case Study Showed
Flowtriq — a workflow automation platform for mid-market ops teams — ran a thorough AI-assisted code review using Claude before their manual pentest. It wasn't theatre. The audit closed real vulnerabilities: XSS, SQL injection, template injection, weak cryptography. Then Lorikeet Security came in and found five more findings anyway. Two High severity. One Medium. Two Low. All exploitable in production.
The reason isn't that AI failed. It's that AI and manual pentesting cover different surfaces entirely.
Two Tools, Two Jobs
AI code review is exceptional at source-level vulnerabilities — the kind that live in the codebase and can be caught before deployment. Fast, cheap, scalable. Run it continuously.
Manual penetration testing covers the running system — session behavior under adversarial conditions, TLS posture on the live listener, files on the production server, reverse proxy header configuration. None of these are visible from source code. All of them were in Lorikeet's findings.
The five vulnerabilities Lorikeet caught after the AI audit — two session management Highs, a TLS Medium, an information disclosure Low, and a security headers Low — all shared one property: they only existed in the deployed environment, not the repo.
Why This Matters for Growth Teams
A data breach doesn't just cost legal fees. It costs the customer trust you've spent your entire growth budget building. For teams operating in regulated markets — fintech, healthcare, any SOC 2 or HIPAA environment — manual pentesting isn't optional. It's the validation that auditors actually require and that AI scans don't provide.
The compounding benefit: because Flowtriq's AI pass cleared the source-level findings first, Lorikeet's testers went straight to the runtime surface. More coverage, same budget. All five findings closed within 48 hours of the report.
The Verdict
For growth teams evaluating their security stack:
Use AI-assisted code review continuously — it raises the floor and removes noise from your pentest scope. Add a manual pentest from a firm like Lorikeet Security before major launches, compliance deadlines, or any time you're handling sensitive customer data. The two stages are complementary, not redundant.
The teams treating security as a growth lever — using compliance certifications as trust signals in enterprise sales cycles — are the ones winning deals their less-secure competitors can't close.
POSITIVE RESULTS
This specimen shows strong growth potential and is recommended for integration into your growth stack.