Operationalize privacy at scale with customizable tech

Ketch provides APIs and SDKs that embed privacy logic into apps and data systems. Engineers can automate consent enforcement, access requests, and deletion workflows across infrastructure. This ensures every data operation complies with laws like GDPR and CPRA, reducing manual coding, minimizing privacy debt, and ensuring scalable, compliant architectures.

Ketch automatically scans connected systems to identify personal data, classify it by type, and map flows across applications. Engineers gain a visual data inventory that supports compliance with GDPR’s record-keeping and DSAR obligations. This continuous mapping allows faster risk detection, efficient automation, and simplified cross-system privacy governance.

Ketch integrates with databases and SaaS tools to locate, export, or delete personal data when users submit requests. Its orchestration engine ensures actions propagate across systems within legal deadlines. Engineers can trigger DSAR workflows through APIs, eliminating manual scripts while maintaining proof of deletion or export for audit readiness.

Ketch syncs user consent states from web or app interfaces to backend systems through APIs. When consent changes, it updates analytics, marketing, and CRM tools instantly. Engineers can rely on Ketch’s enforcement logic to prevent unauthorized data collection, ensuring each system aligns with the user’s lawful consent status.

Ketch allows engineers to define data retention rules by system, category, and regulation. The platform enforces time-to-live policies automatically and verifies deletions. This ensures data isn’t stored longer than necessary, aligning with GDPR’s storage limitation principle while reducing risk of exposure from outdated personal records.

Ketch integrates privacy checks into CI/CD pipelines and APIs, enforcing minimization, masking, and lawful-use rules before deployment. Engineers can validate new code against organizational privacy policies, ensuring that every product release aligns with GDPR principles and internal compliance frameworks from the start of development.

Ketch categorizes SDKs by purpose (analytics, ads, support) and gates their execution based on consent. Engineers can manage all SDKs through a single policy engine. When users opt out, Ketch blocks SDKs from processing personal data, eliminating the need for manual code audits while ensuring lawful data use across integrations.

Ketch automatically detects and processes GPC headers or JavaScript flags, converting them into opt-out events across all systems. Engineers can implement GPC once through Ketch’s API, and the platform propagates preferences globally. This compliance layer ensures technical consistency with CPRA and ePrivacy standards across channels.

Ketch integrates seamlessly with databases, data warehouses, and event pipelines. Through APIs and webhook orchestration, it applies privacy policies in real time. Engineers maintain data velocity and quality while Ketch handles lawful processing, deletion, and masking, preserving compliance without disrupting data infrastructure.

Ketch’s orchestration layer connects to all data systems, applying governance logic centrally. Engineers define policies once, and Ketch executes them everywhere — handling DSARs, consent, and retention automatically. This architecture scales compliance without code duplication, ensuring privacy operations evolve with business growth and regulatory change.

Ketch is built to maintain peak site performance while enforcing privacy compliance. Its lightweight JavaScript tag loads asynchronously, preventing render-blocking and preserving metrics like LCP, FCP, and TBT. Using globally distributed CDNs and deferred execution, Ketch ensures privacy scripts execute only after core page content loads. For engineers, this means no latency added to consent collection or tag control: performance, UX, and ad delivery all remain uncompromised.