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Is Your Engineering Team Running Shadow AI? Find Out Why It's a Yield Risk.

A 27-page technical white paper by Amber Kumar, Co-Founder & CTO at SilTest – exploring how unmanaged AI tools are silently corrupting engineering workflows, and what governed enterprises do differently.

🔴 Shadow AI isn't just an IT problem — in semiconductor test environments, a generic AI can generate code that compiles perfectly, passes review, and still ships defective chips to your customer

⚠️ Traditional security perimeters are blind to it — Shadow AI operates inside encrypted sessions with valid credentials, bypassing firewalls entirely

🔒 The governance stack that actually works — NIST AI RMF, ISO/IEC 42001, and the EU AI Act mapped into a practical, actionable control model

✅ A real-world ATE case study — Advantest SmarTest 7 to 8 migration: exactly where generic LLMs fail, why the code looks correct, and what the consequences are on the production floor.

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