Use Cases

Telecom operators face constant pressure to deliver better customer service while controlling costs. AI agents promise to handle tasks like troubleshooting devices, upgrading plans, or issuing refunds. But without secure identity, these agents become liabilities — exposing accounts, leaking PII, or misusing entitlements.

Defense and public sector missions often happen in Disconnected, Degraded, Intermittent, or Limited (DDIL) environments. In these contexts, connectivity can’t be trusted, but mission success depends on systems that still work.

Life insurance depends on trust, accuracy, and compliance. Underwriting requires processing sensitive health and financial data, while ensuring decisions meet strict regulatory standards. AI agents promise faster underwriting — but without secure identity, they risk leaking PII or making untraceable decisions.

In modern manufacturing, factories run on data and automation. AI agents now coordinate maintenance, order spare parts, and generate compliance reports. But as the number of agents grows, so does the identity risk.

When flights get delayed, passengers want answers fast: rebooking, hotel vouchers, refund options. Human agents can’t scale to meet this surge, but AI agents can. The challenge? Identity.

Retail is moving fast into agentic AI. Imagine a shopping concierge agent that compares prices, applies loyalty discounts, and completes a purchase for you — all in seconds. This sounds like a dream for customers, but for retailers, it’s a nightmare if identity isn’t handled properly.

In financial services, every transaction is built on trust. When an AI agent acts on behalf of a customer — checking credit scores, verifying KYC documents, or submitting a loan application — identity is the control plane. Without it, the system collapses into risk, fraud, and compliance failures.