AI for Audit Requests, PBC, and Workpaper Support
How to use AI to manage audit requests, prepare PBC responses, and support workpaper assembly while preserving traceability, reviewer control, and defensible evidence.
Audit
What LLMs Remember—and Why: Unpacking the Entropy-Memorization Law
The best kind of privacy leak is the one you can measure. A recent paper by Huang et al. introduces a deceptively simple but powerful principle—the Entropy-Memorization Law—that allows us to do just that. It claims that the entropy of a text sequence is strongly correlated with how easily it’s memorized by a large language model (LLM). But don’t mistake this for just another alignment paper. This law has concrete implications for how we audit models, design prompts, and build privacy-aware systems. Here’s why it matters. ...