Trust, but Validate the Instrument: Auditing AI-Generated RTL Verification Plans on Authored Security-Regression Proxies
Researchers present SecTB-RTL, an auditable framework for verifying AI-generated RTL verification plans. A case study shows that provider schema acceptance does not guarantee execution validity, highlighting the need to validate AI-generated code against production semantic validators.
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