Ship safely when AI wrote your code
Cursor, Copilot, Claude Code, Lovable, Bolt — they all generate code with predictable security failure modes. Securie catches the bugs AI tools systematically miss, on every PR.
This is for you if…
- Generating most of your application code with an AI assistant
- Reviewing AI-generated code in 30 seconds because the diff is huge and you have other things to ship
- Trusting that 'if it compiles + works in dev, it's probably fine'
- Aware in the back of your mind that the AI doesn't always think about security
The moments you feel this
Cursor wrote 200 lines of API routes. You skimmed them. They look reasonable. You commit. Two weeks later you read one of them properly and realize there's no auth check anywhere. You wonder how many other routes have the same gap.
You pasted your OpenAI key into a Cursor chat to test something. Cursor's response inlined the key in the suggested fix. You committed the fix without looking carefully. Now the key is in your git history forever.
Your auth was failing in prod. You asked the AI to fix it. The AI's fix removed the auth check entirely (because removing it makes the test pass). You merged the fix because the test passed. Now your admin endpoint is open.
You asked the AI to add middleware protecting /api/admin. The AI wrote middleware.ts with a matcher that doesn't actually match /api/admin (matches /admin instead). Your admin endpoints are unprotected and you don't know it.
What Securie does for you
Specialist coverage tuned for AI-generated code patterns
Securie's specialists are calibrated against the canonical failure modes of AI-generated code: missing auth checks, FormData-trusted user IDs, middleware-matcher mismatches, inline secrets, content-type-trusted file uploads. The 5 patterns guide at /guides/ai-generated-code-security-review covers the catalogue.
Sandbox-verified findings — no triage burden
Every finding ships with a reproduced exploit. You don't read 437 'medium' findings looking for the real one — you read 3 findings that each come with proof. The triage burden that makes solo founders ignore security tools is structurally eliminated.
Auto-fix PRs — accept the fix, move on
Each finding comes with a sandbox-regression-tested fix as a Suggested Change. Click 'Commit suggestion' to merge. The fix is verified to break the reproduced exploit before the PR is opened — you don't have to evaluate whether the fix actually fixes the bug.
Live-key validation + auto-rotation for leaked secrets
If the AI pasted your OpenAI key into source code, Securie's secret_scanner detects + live-validates against OpenAI + (Indie tier and up) opens an auto-rotation PR. Mint new key, update env vars, revoke old key, comment on PR. You merge.
What you don't need to know
- — What BOLA, BFLA, IDOR, CSRF, or CWE-79 are
- — How to read a SAST scanner's SARIF output
- — How to set up rate limiting from scratch
- — How to audit your code for the 5 canonical AI-generated bug patterns manually
What you actually do
- Install the GitHub App (one click)
- Keep using your AI assistant exactly as before
- When Securie finds a bug, click 'Commit suggestion' on the auto-fix PR
- When Securie says 'no findings,' ship with confidence
“AI-generated code accounts for an estimated double-digit percentage of all production code shipped in 2026 — and predictable bug classes inside it. Specialist coverage tuned to AI-generation failure modes is the only practical defense at vibe-coder scale.”
But wait…
Won't AI tools just learn to write secure code over time?
Slowly, yes — and they get safer with every model release. But the bottleneck is training data: most public code in the world ships the canonical-but-buggy patterns, so models reproduce them. Until training corpora shift toward security-curated examples, automated security review stays the practical defense.
I review every AI-generated diff before committing.
If you genuinely review every diff with security in mind, your bug rate is lower than average — but the failure mode is the diff you skim because it's 600 lines and you have other things to ship. Securie runs on every PR regardless; it catches the diffs you skipped.
What if Securie misses a bug my AI generated?
Day-1 specialists cover the highest-frequency AI-generated bug classes (Supabase RLS, leaked secrets, broken auth). Specialists alongside the MVP cover the long tail (XSS, CSRF, SSRF, command-injection, etc.). For genuinely novel AI-generated bugs not in any specialist's surface, Securie does not catch them — but neither does any other tool. The honest framing: Securie covers the canonical bugs structurally; novel bugs require novel detection.