FROM CODE TO BOARDROOM: A GENAI GRC APPROACH TO SUPPLY CHAIN RISK

Summary from the TLDR InfoSec newsletter

Traditional GRC approaches fail to address GenAI-driven supply chain risks, such as shadow AI adoption (vendors using public LLMs for code generation without disclosure) and model drift (AI systems changing behavior over time, exposing data or introducing regulatory violations). This article proposes a GenAI GRC framework that uses LLMs for contextual intelligence across unstructured data sources, continuous monitoring via a “digital trust ledger” that dynamically scores vendor risk, and regulatory synthesis to maintain compliance with evolving requirements such as the EU DORA and AI Act. CISOs should pilot this approach by monitoring critical vendors' self-attestations against their public digital footprint, shifting from static compliance reporting to predictive risk velocity metrics that translate technical vulnerabilities into boardroom-ready strategic resilience indicators.