What Is Broken Access Control in AI-Built Apps?

Broken access control is the failure to enforce authorization boundaries after identity is established. In AI-built apps, this usually appears as role checks without resource ownership or policy consistency.

The common failure pattern is "authenticated but over-authorized." A user with a valid session can still read, update, or delete resources that belong to a different tenant when routes and policies do not validate actor-to-resource relationships.

A plain-English analogy: checking that someone has a hotel keycard is not enough. You must also verify that the card opens the specific room they booked, not every room on the floor.

As shown in the Policy Gate diagram, the left lane should represent actor claims and role context, and the right lane should represent route- and row-level authorization outcomes.

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Agentic Risk (Cursor, v0, Bolt)

Ubserve Internal Audit data (2026) found 34.2% of AI-assisted codebases had at least one privileged path callable by non-privileged users due to generated "helper" routes and partial role gates.

Wrong vs. Right

// WRONG: role check only
if (session.user.role === "member") allow();

// RIGHT: role + object + tenant + action scope
authorize({
  actorId: session.user.id,
  tenantId: session.tenantId,
  action: "invoice:update",
  resourceTenantId: invoice.tenantId,
});

Copy-Paste Fix Prompt for Cursor/Claude

Harden access control in my app.
1. Build a matrix of actions vs roles vs resources.
2. Locate routes/actions where role checks exist without ownership checks.
3. Add policy middleware/helpers enforcing actor-resource-tenant consistency.
4. Add tests for horizontal and vertical privilege escalation.
Return patches + authorization matrix.

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