RegistryForge
A joint RevOps-and-security inventory that discovers bounded access evidence, routes AI-system and risk candidates to qualified review, and assembles cited documentation without claiming complete discovery or automatic legal classification.
Revenue teams connect many tools to customer records, email, calendars, contracts and enrichment data. Some use AI visibly; others add automated features over time. RegistryForge creates a shared evidence register of observed tools, access grants, owners, purposes, data and current review state.
Discovery is never complete. An authorization record or browser extension does not prove that a tool uses AI, remains active or falls within a legal risk category. Legal role, applicability, classification and documentation obligations require current primary authority and qualified review. The product can prepare cited candidates and gap questions; it cannot generate a conformity conclusion or declare that a log satisfies law.
The supplied research confirms adjacent security and OAuth-discovery products but no reviewed joint RevOps-and-security tool for this legal-use case. Several regulatory claims in the source are broad and must be revalidated as of the customer’s jurisdiction and deployment. Observation, owner attestation, legal review, control evidence, approval and regulator outcome remain separate.
A RevOps and security or compliance leadership pair at a midsize company that needs a shared inventory of AI-enabled access across its revenue systems.
The supplied European enforcement milestone creates strong urgency subject to current applicability review.
The product automates inventory evidence while keeping legal classification and system authority outside the model.
The source records six cross-references and nine inbound connections without a supplied cross-vertical cluster.
The source records substantial connected interest, confirms OAuth infrastructure and adjacent compliance and posture tools, and finds no reviewed product aimed at a joint revenue-operations and security buyer for AI-use inventory.
Discovery cannot be complete, risk classification is legal and fact-specific, browser and OAuth evidence are limited, the incumbent gap is not structural and the source overstates some regulatory obligations and timing.
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