Comply with every law
Stop worrying about add-on modules for every new data privacy law. Ketch consent and preference management delivers responsive compliance in every current and future jurisdiction.
Responsive, agile data privacy compliance to support your growth.
Summer 2026 Leader
Rated 4.6/5 on G2
165+ verified reviews from privacy, security, and marketing teams.
Read Customer StoriesTop rated consent management platform based on 165+ reviews on G2.
Overview
Tech companies use Ketch to simplify privacy operations, supporting business growth through expansion, automation, and partnerships.
Stop worrying about add-on modules for every new data privacy law. Ketch consent and preference management delivers responsive compliance in every current and future jurisdiction.
SaaS companies process rights requests against millions of records spread across microservices and data stores. Ketch DSR Automation runs intake to fulfillment with no-code system and app integrations, so requests complete on deadline without pulling engineers off the roadmap.
Connect privacy signals for consent and DSRs to your internal systems and third-party applications with ease. Ketch Integrations are no-code, meaning no developer or engineering support is required to get them live. You’re ready to go after a few basic configuration steps.
Shipping AI features means proving the data behind them is permissioned, and most consent records never make it that far downstream. Ketch AI Governance connects consent and rights signals to AI processing, monitors for unapproved data flows and risky queries, and logs every AI action so your team can demonstrate governance instead of asserting it. Trackers that ignore opt-outs generate 215 billion dirty data events every month, and that data is already flowing into training pipelines.
Ketch Data Mapping connects directly to Snowflake, BigQuery, Databricks, Redshift, MongoDB, AWS Glue, and your SaaS stack, then discovers and classifies personal data down to custom fields with sensitivity levels, data categories, and data types. Classification runs inside your environment, inspecting data in place without exposing or extracting raw records, which is the answer your security team will ask about first.
Product, marketing, and growth teams ship tags faster than privacy teams can review them. Data Sentry analyzes real-time network traffic, the actual data packets leaving your site, detects collection that continues after an opt-out, and can process the same HAR files plaintiffs' firms use to build claims, so your team holds the evidence before anyone else assembles it.
The Ketch Agent Network connects purpose-built agents to your systems, contracts, and Ketch configurations, then continuously compares what regulations require, what your policies say, and what your infrastructure actually does. Agents build and maintain your data map, surface gaps with specific citations, and recommend configuration changes your team can approve in clicks instead of hours.
Enterprise deals and audits both come down to documentation, and pulling it together by hand burns engineering and legal time you don’t have. Ketch Risk Assessments & Reporting produces regulator-ready and buyer-ready evidence of your data practices from live system data, with the Privacy 360 Analytics suite covering enforcement reporting across every property you run.
Case study

Smartsheet streamlines privacy operations with automation from Ketch, reducing manual effort by 75% while ensuring compliance across 15+ jurisdictions.
Consumer research
Tech companies use Ketch to simplify privacy operations, supporting business growth through expansion, automation, and partnerships.
By 2024, 75% of the world is expected to be subject to some type of data privacy regulation. If you’re growing a business that spans countries and jurisdictions, this stat may see defeating. In reality: with the right technology, it’s possible to seamlessly comply with multiple privacy regulations at once. Adopting a repeatable, “building block” approach to assembling privacy policies makes deployment easy. The best part: when you create customized consent experiences that respect people’s data and choices, you start to build an ecosystem of responsibly-gathered data that you can confidently use to grow your business.
In “The Person Behind the Data,” a comprehensive survey of over 5,000 consumers from both the US and the UK, we sought to understand the data practices that most significantly influence purchase intent. Four key practices that stand out: transparency, retention, minimization, and sharing. Each of these practices plays a crucial role in shaping consumer trust and decision-making. Focusing on getting these four practices right can make a substantial difference in how consumers perceive and interact with your brand. To learn more about each, download the study below.
To comply with modern privacy regulations (like CCPA/CPRA in California), collecting consent preferences from your customers is only half of the consent and preference management equation. The second half is enforcing those preferences. Are you reflecting people’s privacy choices across your data systems and apps, ensuring their preferences are respected everywhere? Smart companies will stop making hollow customer promises, and shift to creating collection and usage strategies that respect people’s choices everywhere.
Related reading
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