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Cloud & AI Companies · Confidential client

ISO/IEC 42001 and Adversarial Testing for a Contact-Center AI Provider

Voice agents that can no longer be talked into reading back card numbers, and an AI management system heading for certification.

Client name withheld by agreement
Client
Conversational AI provider for contact centers
Region
Seattle, Washington
Year
2026 · Ongoing
Duration
22 weeks
Scope
4 voice and chat models · 27 CRM and payment integrations
Practice
AI, Cloud & Digital Trust

The challenge

What was at stake.

A conversational AI provider runs voice and chat agents that handle billing, card payments and account changes for utilities, airlines and insurers. Its enterprise buyers had started asking for ISO/IEC 42001 certification and evidence of adversarial testing in the same RFP.

The agents connect to 27 CRM and payment systems. A caller who could persuade an agent to skip verification or read back stored data would turn a convenience into a breach.

What we did

The approach, step by step.

  1. 01

    Every model and integration registered

    Four production models and 27 integrations were cataloged with their purpose, data access, risk tier and an accountable product owner.

  2. 02

    Management system to the standard

    AI policy, impact assessments, change control for prompts and models, and post-release monitoring were built to ISO/IEC 42001 and cross-referenced to the NIST AI RMF.

  3. 03

    Voice-first red teaming

    Our testers called the agents directly, using social engineering, injected instructions in CRM fields and adversarial audio to push them past verification steps.

  4. 04

    Fixes in the call flow

    Verification moved out of the model and into deterministic checks, payment data was masked before it reached the model, and high-risk actions now need a confirmed second factor.

Outcomes

What changed, in numbers.

22
verification bypasses closed in voice and chat
27
integrations restricted to least privilege
4
models under documented governance
0
card numbers exposed in final retest
Procurement used to stall on AI risk. Now we send the test results and the management system, and the questions stop.
Chief Product Officer, client name withheld
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