Hearsay

Compliance teams spend countless hours monitoring regulator websites, yet they often miss the earliest and most important signals. Regulatory intent rarely appears first in a formal rule. It typically emerges in public hearings, then in PDFs and reports, and only later on official press pages—sometimes weeks apart. Most GRC platforms monitor only part of that process. Hearsay solves this problem by acting as a single watchtower across 125 regulators in 67 jurisdictions, continuously monitoring three distinct modalities: Written Every regulator webpage is collected through Bright Data Web Unlocker, enabling access to JavaScript-rendered, geo-restricted, and anti-bot protected content. For example, SEC.gov may return a 403 response to standard requests, while Web Unlocker successfully retrieves the same content. Visual Regulatory PDFs, scanned documents, and attestations are rendered into images and analyzed using GPT-4o Vision via the AI/ML API. During testing against NIST CSF 2.0, the pipeline accurately identified the newly introduced Govern function and all twelve associated outcome categories. Spoken Hearings, press conferences, and agency audio are transcribed using Speechmatics and analyzed by a premium classifier (Claude Opus 4.7) to identify forward-looking regulatory intent. A disclosure mentioned only once during a hearing can be transformed into a critical alert with mapped compliance controls—well before any formal written rule is published. Every detected event is: Classified by severity Mapped to relevant SOC 2, ISO, and NIST controls Accompanied by AI-generated reasoning Supplemented with three actionable recommendations Stamped with the model used for analysis, including visible multi-tier failover status