AWS Machine Learning Blog· Ferhat Erata·· 4 d ago
Semantic diffing of formal policies with anti-unification
Semantic diffing of formal policies with anti-unification
AI summary
A textual diff of two formal policies flags every cosmetic change and hides the one that alters behavior. This post shows how to compute a symbolic, deterministic semantic diff with an open-source anti-unification engine, so reviewers see only the genuine disagreements between two candidate authorization policies.
Selection record
Threshold 60Official, first-handFirst 34Second 34
Not admittedSum of both 68 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：形式化策略语义diff工具，涉及LLM自动形式化与AI智能体策略
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com