CONSTRUCTING A TRUSTWORTHY EVALUATION METHODOLOGY FOR CONTEXTUAL SECURITY ANALYSIS

Summary from the TLDR InfoSec newsletter

DryRun Security uses an AI engine called Contextual Security Analysis (CSA) to analyze code changes probabilistically. Each PR goes through three steps: whole-PR synthesis to understand the goal, hunk-scoped reasoning to isolate individual code hunks and filter out unrelated changes, and on-demand context acquisition to retrieve supporting files and dependencies. DryRun also has a secondary audit model that randomly samples production findings every 24 hours to check instruction compliance, hallucination detection, and vulnerability accuracy.