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.

01. [Component: DarkWireframeKey]

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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02. 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.

03. 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,
});

04. 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.