Cloud & Platform

Vibe Fixing. Secure the code your AI wrote.

AI assistants now write a large share of the code shipping to production, fast and often insecure. Vibe coded apps carry the same old flaws, generated at Machine speed. We review, harden, and fix what the AI got wrong, before it becomes your incident.

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Why this is new

AI writes code that looks right and runs fine, which is exactly what makes it dangerous. It confidently reproduces the insecure patterns it learned, at a speed no human review can keep up with. The code works. That is not the same as the code being safe.

Teams are shipping AI-assisted and vibe-coded software faster than security can look at it. The vulnerabilities are the familiar ones, injection, broken auth, hardcoded secrets, leaky dependencies, now generated in volume. Vibe Fixing brings human security expertise and AI-aware tooling to review that code, find what is wrong, and fix it, so velocity does not come at the cost of safety.

The risks

What AI confidently gets wrong

The flaws are old, but the speed and confidence are new. These are the patterns we see most in AI-generated code.

Injection flaws

Unsanitized input concatenated into queries and commands, the classic the model reproduces by default.

Broken authentication

Weak session handling, missing checks, and access control the AI implies but never enforces.

Hardcoded secrets

API keys and credentials baked into the generated code, ready to leak the moment it is committed.

Risky dependencies

Outdated or hallucinated packages pulled in without a thought to provenance or known flaws.

One finding, end to end

The diff is the deliverable

A representative fix from an AI-written codebase: the assistant produced working code, tested it, shipped it, and never once checked who was asking.

routes/account.js · missing authorizationIllustrativeCritical
app.get("/api/accounts/:id", async (req, res) => { - const account = await db.accounts.findById(req.params.id) - res.json(account) + const account = await db.accounts.findById(req.params.id) + if (account.ownerId !== req.user.id && !req.user.isAdmin) { + return res.status(403).json({ error: "forbidden" }) // VF-AUTHZ-003 + } + res.json(account) })
Why the AI wrote it

The prompt said "build the account endpoint." Authorization was never mentioned, so it was never generated. The code works perfectly for every test the assistant wrote, because the assistant's tests log in as the owner.

What ships with the fix

The same check applied across all 14 sibling endpoints, a pipeline rule that flags ID-parameter routes without an ownership check, and a pre-cleared authz pattern your AI tools can imitate next time.

Part of the loop

Where Vibe Fixing sits in VIGILE

Catch and correct

Identify the flaws, Guard the codebase

IdentifyVibe FixingGuard

Vibe Fixing is the Identify and Guard motions applied to AI-generated code. We find what the assistant got wrong and harden the codebase, so the speed of AI development does not open new doors.

See Managed DevSecOps ›
FAQ

Top 10 questions, frequently asked

It can be, and the risk is the confidence. AI reproduces the patterns it learned, including insecure ones, and it does so fluently and at speed. The code often works perfectly while carrying a familiar flaw like injection or a hardcoded secret. The volume and the polish are what make human review struggle to keep up.

No. AI assistants are a real productivity gain and they are here to stay. The point is to use them safely. We add the review, the fixes, and the guardrails so your team keeps the speed without shipping the flaws that come with it.

It is focused on the specific failure modes of AI-generated code, with tooling and expertise tuned for them, including hallucinated dependencies and confidently wrong security logic. It plugs into your DevSecOps pipeline rather than replacing it, adding the AI-aware layer on top.

Yes. A common starting point is an app built quickly with AI that now needs to be safe for production. We review the existing code, fix what is wrong, and put guardrails in place so the next round of changes stays secure.

A security review of the AI-generated codebase, fixes shipped in risk order, and guardrails added to the pipeline so the next AI-assisted sprint starts safer than the last.

A focused codebase review typically runs two to four weeks depending on size, with criticals fixed as they are found rather than held for the report.

Missing authorization checks, secrets in code, injection paths, and over-trusted inputs: the classic vulnerabilities, shipped faster and with more confidence than hand-written code ever managed.

Yes. Pipeline checks tuned for AI-assisted development catch the recurring patterns at commit time, and pre-cleared secure patterns give the AI tools better examples to imitate.

Fixed scope by codebase size for the review, with managed DevSecOps as the ongoing layer if you want the guardrails run for you.

Validate reviews the code, Guard adds the pipeline checks, and Learn feeds each finding back into the rules so the same bug stops recurring.

Vibe Fixing datasheetThe AI-code failure patterns, the review and fix process, and the guardrails that keep it fixed.
Download the datasheet

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Keep the speed, lose the flaws

Book a session with a Principal Engineer. We review your AI-generated code and show you what to fix first.

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