Gartner® names Reality Defender a Market Shaper in deepfake detection, June 2026

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INSURANCE

Agent capacity for service. Evidence for fraud review.

RealCall supplies synthetic-speech findings during policyholder calls. Operations teams use the signal to allocate agent time, while fraud teams scrutinize sensitive account and payment requests under existing verification controls.

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A service policy for routine and sensitive requests

Eligible routine inquiries can stay in self-service. Account and payment changes retain their verification controls, with agent effort and service completion included in the evaluation.

Sources: One anonymous insurer; agent-time exposure, not cash savings. Accenture, 2026: 25,590 consumers, 16 countries. Gartner, 2026: 3,566 B2B/B2C customers.

  • $5M+

    annual agent-time cost exposure avoided at one insurer.

  • 74%

    of surveyed consumers would delegate routine tasks to an instructed AI agent.

  • 87%

    of surveyed customers require a human option alongside GenAI service.

Servicing cost and policyholder trust

Agent capacity

Routine AI inquiries can follow an automated service path, leaving agents available when a person is needed.

Sensitive-request fraud review

A suspicious-voice alert supports closer scrutiny of account changes, payment destinations and recovery requests alongside account history and authorization controls.

Servicing cost control

Your business decides which AI-assisted requests justify paid agent effort and which are eligible for self-service.

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PRODUCTS

RealCall for policyholder calls

See RealCall in a policyholder service scenario.

Discuss your setup

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PRACTICAL GUIDANCE

A service path for routine policyholder inquiries

The contact-center guide explains why legitimate AI inquiries need a deliberate service policy, with sensitive requests following the required verification or agent path.

Put a servicing scenario to the test

The demo connects an incoming policyholder call to the signal delivered to your service and fraud systems.