AI Security and Vibe Coding Security

Build the mental model

Be cautious about what gets pasted into an AI prompt: sensitive credentials or confidential data sent to an AI tool may be logged or retained in ways hard to fully control.

AI output can be confidently wrong. Hallucination means a model can state a fabricated fact or insecure pattern with the same confident tone as something correct.

AI agents should not automatically receive unrestricted file or system access — the same least-privilege thinking for human accounts applies to AI agents too.

Vibe coding needs a real security workflow, not just accepting what comes out.

Stated bluntly: the code being AI-generated says nothing about whether it is secure. That judgment still belongs to the human reviewing it.

VIBE CODING SECURITY WORKFLOW
-----------------------------
AI GENERATES CODE
   |
   v
DEVELOPER REVIEWS THE ACTUAL DIFF
   |
   v
SECURITY CHECKLIST
   auth | authz | secrets | db-rules | API exposure
   input validation | dependencies
   |
   v
AUTOMATED TESTS RUN
   |
   v
SECURITY REVIEW (human sign-off)
   |
   v
DEPLOY
(AI generated it != secure by default)

Connect it to a real scenario

The function below encodes the vibe-coding security workflow as an explicit gate before deploy — a boolean per checklist category plus whether tests pass.

There is no partial credit: readyToDeploy is only true when every single item has been explicitly checked.

Wire a check like this into a real review process so "it looks fine and the AI seemed confident" is never mistaken for a completed security review.

• Be cautious with sensitive prompts — data sent to an AI tool may be logged or retained in ways that are hard to fully control.
• AI output can be confidently wrong (hallucination), and AI agents should follow least privilege just like human accounts.
• AI-generated code needs the same full security workflow as any other code — being AI-generated is not the same as being secure.

Try the working example

function assessVibeCodedChange(review) {
  const checklist = {
    authenticationChecked: review.authenticationChecked,
    authorizationChecked: review.authorizationChecked,
    secretsChecked: review.secretsChecked,
    dbRulesChecked: review.dbRulesChecked,
    apiExposureChecked: review.apiExposureChecked,
    inputValidationChecked: review.inputValidationChecked,
    dependenciesChecked: review.dependenciesChecked,
    testsPassing: review.testsPassing,
  };

  const missing = Object.entries(checklist)
    .filter(([, done]) => !done)
    .map(([item]) => item);

  return {
    readyToDeploy: missing.length === 0,
    missing,
    note: "AI generated it does not mean secure by default — every item must be explicitly checked.",
  };
}

const notReady = assessVibeCodedChange({
  authenticationChecked: true, authorizationChecked: false, secretsChecked: true,
  dbRulesChecked: false, apiExposureChecked: true, inputValidationChecked: false,
  dependenciesChecked: true, testsPassing: true,
});

const ready = assessVibeCodedChange({
  authenticationChecked: true, authorizationChecked: true, secretsChecked: true,
  dbRulesChecked: true, apiExposureChecked: true, inputValidationChecked: true,
  dependenciesChecked: true, testsPassing: true,
});

console.log("Not ready:");
console.log(JSON.stringify(notReady, null, 2));
console.log("\nReady:");
console.log(JSON.stringify(ready, null, 2));

Not ready:
{
  "readyToDeploy": false,
  "missing": [
    "authorizationChecked",
    "dbRulesChecked",
    "inputValidationChecked"
  ],
  "note": "AI generated it does not mean secure by default — every item must be explicitly checked."
}

Ready:
{
  "readyToDeploy": true,
  "missing": [],
  "note": "AI generated it does not mean secure by default — every item must be explicitly checked."
}

OWASP Top 10 for Large Language Model Applications — Digital Privacy & Modern Security