Privacy management software for the AI era

A CMP handles one job: collecting and enforcing consent at the point of interaction. A full data privacy platform extends that foundation to data mapping, data subject rights (DSR) automation, policy management, and AI governance, so consent choices actually govern what happens to data after it's collected. Ketch is built as a modular platform, so a team can start with consent management and add data mapping, DSR automation, or AI governance as the program grows, without switching vendors.

Ketch deploys with a single script tag and no-code configuration, so most consent management implementations go live in two to four weeks without a dedicated engineering team. Ketch integrates natively with Google Consent Mode v2, GA4, Google Tag Manager, and the CRM and CDP systems marketing and privacy teams already run, syncing consent signals across every connected system in real time. Full data orchestration, including data-warehouse integrations, typically runs six to eight weeks with light engineering support.

Ketch covers GDPR, CCPA/CPRA, and other global and state privacy laws from a single configuration, adapting consent requirements by the visitor's location: opt-in banners where GDPR applies, opt-out and "Do Not Sell or Share" links where CCPA applies. Templates update as regulations change, so a multi-jurisdiction business runs one program instead of maintaining separate tools per region.

Consent management connects to AI governance by carrying a person's permissions forward into every system that touches their data, including the models and agents trained or run on it, not just the collection point. Under the EU AI Act, high-risk AI systems require documented data governance, including data provenance and quality checks, with enforcement of that regime beginning August 2, 2026. Ketch treats consent as the permissioning layer for AI, so permissioned data can be used with confidence instead of guesswork about what's authorized downstream.