Insurance fraud prevention through PBAC: what IAM teams need now

TL;DR: Insurance fraud is increasingly a policy problem, showing how RBAC, ABAC, and PBAC can apply contextual authorization checks across underwriting and claims workflows, according to Cerbos. In practice, the decisive shift is moving authorization earlier in the insurance lifecycle so fraud is blocked before payout decisions are made.

NHIMG editorial — based on content published by Cerbos: policy-based authorization is changing insurance fraud prevention

By the numbers:

• Insurance fraud has claimed $306 billion from US consumers.

Questions worth separating out

Q: How should insurers implement policy-based authorization for claims and underwriting?

A: Start by identifying the business decisions that create fraud risk, then define policy conditions for role, status, geography, documentation, amount, and channel.

Q: Why does RBAC fail in fraud-sensitive insurance workflows?

A: RBAC fails when a role alone cannot express the business conditions that make an action safe or unsafe.

Q: How do organisations know whether authorization controls are reducing fraud?

A: Look for fewer approvals that bypass required evidence, lower rates of exception-driven access, and a consistent match between policy conditions and real-world decisions.

Practitioner guidance

• Model decision points, not just users and roles Map underwriting, policy creation, claim approval, and exception handling as discrete authorization events.
• Replace role bands with reusable policy rules Collapse amount-based and exception-based roles into structured policies that can evaluate transaction value, policy type, geography, documentation status, and fraud checks without creating role explosion.
• Centralize high-risk authorization decisions Keep claims and underwriting decisions in a shared policy layer so rules are reviewed once and enforced everywhere, rather than reimplemented inconsistently inside each application.

What's in the full article

Cerbos' full article covers the operational detail this post intentionally leaves for the source:

• Concrete Cerbos policy examples for auto, life, and property insurance workflows
• Attribute tables showing how principal, resource, and context fields are evaluated in each scenario
• A worked explanation of derived roles, constants, and resource policies in PBAC
• Fraud-focused checks such as document verification, regional constraints, and approval sequencing

👉 Read Cerbos' analysis of policy-based authorization for insurance fraud prevention →

Insurance fraud prevention through PBAC: what IAM teams need now?

Explore further

View Full Forum →  |  NHI Foundation Course →