- Engineer — Learn: Academic framework for detecting model drift after deployment using privacy-preserving proofs; no running systems to patch today, but the black-box token-probe approach is worth tracking as LLM supply-chain integrity tooling matures.
- SOC/IR — Skip
- Leader — Learn: Offers a governance-relevant framing: proprietary LLMs can be silently altered post-approval, and cryptographic audit frameworks are emerging to address that gap — useful context for AI risk discussions with the board or auditors.