
Ketch Compliance Evidence Automation 2026
Ketch orchestrates consent and maps data across the stack, enforcing preferences in real time. Data Sentry pentests your live site before regulators or attorneys do.
Ketch Evidence Automation verdict
Ketch automates evidence by orchestrating consent and mapping data across the stack.
It replaces manual, point-in-time spreadsheets with automated discovery and classification, enforces privacy preferences consistently in real time across every tool and channel, and resolves identity across browsers and devices. A Data Sentry website privacy pentest reveals vulnerabilities before regulators or plaintiffs' attorneys do.
Plan a Ketch rollout as wiring consent and data mapping into your marketing and data stack. Connect your analytics, CRM, CDP, marketing, tag and warehouse systems from the 1,000-plus connectors, so consent is orchestrated and enforced in real time everywhere. Let automated discovery and classification map data risks without spreadsheets. Run Data Sentry to find website privacy vulnerabilities before regulators do, automate DSR fulfillment, and explore the agentic Ketch Agent Network. Use Risk Management and Reporting for audit-ready output. Budget for the human remainder: AI governance and marketing personalization decisions, risk analysis review, and pairing with a GRC tool for security-framework evidence. The payoff is consent and data permissioning enforced in real time across the stack.
- Automated discovery and classification replace point-in-time spreadsheets.
- Consent is orchestrated and enforced in real time across more than 1,000 connectors, and Data Sentry tests the live site.
- AI governance, marketing personalization and security-framework evidence stay out of automation.
- Discovery
- Automated, no spreadsheets
- Enforcement
- Consent in real time
- Testing
- Data Sentry website pentest
- Connectors
- 1,000+ pre-built
- New
- Agentic Agent Network
This page covers how Ketch automates consent and data mapping. Which regulations it covers and pricing live on their own pages.
How much evidence Ketch automates for you
Toggle the systems you run. See what Ketch auto-collects evidence from read-only and continuously, and what stays manual no matter your stack.
Pick the systems in your stack to see what Ketch auto-collects, and what you still own.
- AI governance decisions
- Marketing personalization strategy
- Risk analysis and action
- Security-framework evidence (out of scope)
- Data Sentry is vendor-designed, not third-party certified
Ketch orchestrates consent and maps data across connected systems and tests the live site with Data Sentry; AI governance, marketing personalization and security-framework evidence stay yours.
How Ketch automates compliance evidence
- Ketch replaces manual, point-in-time spreadsheets with automated discovery and classification.
- Privacy preferences are enforced consistently in real time across the stack.
- Consent is orchestrated in a unified way across all tools and channels.
- DSR automation frees stakeholders from manual data-subject-request tasks with smart automation.
- A new Ketch Agent Network brings agentic privacy to the platform.
Ketch automated tests and monitoring
| Aspect | Detail | Notes |
|---|---|---|
| Discovery | Automated classification | Replaces point-in-time spreadsheets |
| Preference enforcement | Real time | Consistent across the stack |
| Data Sentry pentest | Website privacy test | Find vulns before regulators |
| DSR automation | Smart automation | Frees stakeholders from manual tasks |
| Identity resolution | Cross device | Browsers, devices, touchpoints |
| Agentic | Ketch Agent Network | Agentic privacy (2026) |
Evidence sources Ketch connects
| Integration | Type | Capabilities | Setup |
|---|---|---|---|
| Analytics | Data | Adobe, Amplitude, GA · Mixpanel, Heap | Connect |
| CRM & support | SaaS | Salesforce, HubSpot · Zendesk | Connect |
| CDPs | Data | Segment, mParticle, Tealium · BlueConic | Connect |
| Marketing & ads | Marketing | Braze, Klaviyo · Google Ads, TikTok, Meta | Connect |
| Tag management | Workflow | Google Tag Manager · Adobe Experience Platform | Connect |
| Warehouses | Data | Snowflake, BigQuery, Redshift · Databricks | Connect |
| Ecommerce | SaaS | Shopify, BigCommerce · Salesforce Commerce | Connect |
| Developer APIs | Custom | Flexible APIs · Custom integrations | Build |
Ketch audit workflow and evidence packaging
- A Risk Management & Reporting product provides audit-ready output for the privacy program.
- Data Sentry verifies website privacy compliance and can surface findings for auditors.
- Automated workflows support business needs so privacy keeps pace with the program.
- Onboarding includes Slack communication, onboarding checklists and thorough documentation.
Continuous monitoring and drift in Ketch
| Signal | Cadence | Channel / action |
|---|---|---|
| Preference change | Real time | Enforced consistently across the stack |
| Consent signal | Continuous | Orchestrated across all tools and channels |
| Identity | Cross-touchpoint | Resolved across browsers and devices |
| Website vulnerability | On scan | Data Sentry reveals it before regulators |
| Data risk | Ongoing | Data mapping finds and assesses it |
What still needs manual work in Ketch
- AI use-case governance requires human decisions, even with consent enforcement automated.
- Marketing personalization strategy is a human call; Ketch automates the consent enforcement around it.
- Risk management and reporting surfaces risk, but analysis and action still require human review.
- Data Sentry is a vendor-designed privacy pentest, useful for finding issues but not a third-party certification.
- ISO/IEC 27701 sets the privacy management requirements, but the certificate comes from an accredited body, not the tool.
Ketch Evidence Automation FAQ
How does Ketch automate evidence?
By orchestrating consent and mapping data across the stack. Ketch replaces manual, point-in-time spreadsheets with automated discovery and classification. It enforces privacy preferences consistently in real time across every tool and channel through unified consent orchestration, and resolves identity across browsers, devices and touchpoints. The privacy record reflects live signals.
What is Data Sentry?
Data Sentry is Ketch's website privacy pentest. It reveals privacy vulnerabilities, such as unconsented trackers, before regulators or plaintiffs' attorneys find them. It is a vendor-designed assessment that tests the live website rather than relying on configuration alone, complementing the consent and data-mapping products.
How does the audit side work?
Ketch's Risk Management and Reporting product provides audit-ready output, DSR fulfillment is automated and documented for proof, and Data Sentry verifies website privacy compliance and can surface findings for auditors. Onboarding ships Slack support, checklists and thorough documentation, so the privacy record is current rather than assembled for each review.
How does Ketch keep consent current between reviews?
In real time. Consent is orchestrated across all tools and channels and enforced consistently in real time, identity is resolved across browsers and devices, and Data Sentry probes the live site for new vulnerabilities. A preference change propagates everywhere, and a new gap is surfaced rather than drifting until the next audit.
What still needs manual work?
Consent and data mapping are automated, but people own the rest. AI governance and marketing personalization are business decisions, risk management surfaces risk but analysis and action need human review, and Data Sentry is a vendor-designed pentest rather than a third-party certification. Security-framework evidence like SOC 2 and NIST is out of scope and needs a separate GRC tool.
Sources & verification
| Source | What was checked | Last checked |
|---|---|---|
| Ketch Official | Official product page | July 10, 2026 |
| ISO/IEC 27701 | ISO/IEC 27701 requirements | July 10, 2026 |
| Ketch | Product documentation | July 10, 2026 |
| Ketch Integrations | Integrations and connectors | July 10, 2026 |
Every fact on this Ketch page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.
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