DPIA, PIA, TIA, and AI templates
Pre-populated, customizable templates that speak the legal team's vocabulary out of the box.
Static risk assessments used to be the only window privacy teams had into operational risk. Ketch turns risk management into a live view of your privacy program, with AI agents that surface insights and actions across your entire privacy operation.




Pre-populated, customizable templates that speak the legal team's vocabulary out of the box.
Assessments draw evidence from data maps, classifications, and policies in real time.
The Ketch Agent Network drafts answers based on prior evidence, so reviewers focus on the decisions that actually need a human.
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67.2B
Consent transactions per month
3,500+
Brands using Ketch CMP
30.8B
CDN requests per month
5+
Gartner Market Guides
1,000+
Systems, apps, and models
Continuous risk management
Most organizations still treat privacy risk management as a binder of assessments that ages the moment it's filed.
Modern data and AI regulations require a current, defensible understanding of risk — regulators now expect auditable evidence that data practices match stated policy, not just the policy itself.
Ketch makes risk management continuous. AI agents observe gaps across your data systems, contracts, and configurations, surface insights for review, and take action to fix them.
Powered by the Ketch Agent Network
Risk management on Ketch runs on a network of AI agents that already know your data, your systems, and your stakeholders, so every assessment starts pre-completed before you've even seen it. Reviewers spend their time on judgment calls, not assembly.
Ketch agents read the regulation, the data system, and the use case, then assemble the right question set for the assessment and assign it to the subject matter expert, all in front of you: DPIA, TIA, PIA, AI impact, vendor review.
Agents pull from data maps, system metadata, prior assessments, and live observations to only ask relevant questions and answer part of every assessment before it ever lands on a stakeholder or SME desk.
When data reality changes (a new vendor, a new field, a new model), agents detect it and update the assessment. No more documents that were true in March and fiction by June.
Agents compare your configuration against your privacy policy, ROPA, and stated commitments, providing insights into what has drifted past what your policies state. Each insight is tied to an action with a recommended fix that the agent applies inside the relevant Ketch product on your approval.
The agent network classifies every field across your SaaS stack and warehouses by sensitivity, category, and purpose. It reclassifies the moment the data changes, so consent, retention, and assessment rules always run against the current shape of your data.
The right framework, done for you
Start every assessment with the right framework already in place, and let the Agent Network draft the answers before anyone opens it.

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Answers that reflect production
Risk management moves from an annual snapshot to a continuous signal when assessments stay connected to live systems.
Ketch connects directly to the data warehouses, SaaS systems, and cloud services where personal data actually lives, so answers reflect what's running in production, not what someone remembered to write down.
When a system adds a new data category, a new processor, or a new purpose, Ketch agents catch it and flag the assessments that need a second look.
Every assessment becomes a live record. Dashboards, ROPAs, and regulator-ready exports reflect the current state of your data, not a PDF from last quarter or last year.
Collaboration
Assessments stall when questions sit with the wrong people. Ketch gets every question in front of the person who can actually answer it, with the context already attached.

Reality-checked, continuously
Agents flag gaps between documentation and production, then stage the fix for quick resolution.
When your systems drift from what your policies say, such as an undisclosed collection or a retention period stretched beyond what you promised, the agent flags the gap and ties it to the clause and system involved. The fix is staged and ready to be applied.
When a vendor takes data categories outside the DPA, or a subprocessor appears in production without being disclosed, the agent detects the conflict in the contract language itself. Each finding comes with a remediation path, routed to the person who can resolve it.
When a new field is added to a customer table or a column starts receiving sensitive data, the agent classifies it as soon as it changes. Handling rules apply automatically: consent purposes are updated, retention is adjusted, and the field is flagged for assessment.
Beyond spreadsheets and GRC
Five capabilities legal and security teams rely on.
Assessments draw from your live data map in real time, not stale exports.
The Agent Network completes most of an assessment before a reviewer opens it, and cites sources.
Pre-built templates for AI risk classification and obligations under the EU AI Act.
Surface the vendors, systems, and pipelines that change an assessment's risk level.
Export a complete assessment with sources, approvals, and timeline for regulators.
Integrations
Ketch ships connectors and SDKs so consent, rights, and policy flow into your CDPs, warehouses, ad platforms, and AI stack — without a custom data pipeline.
ROI
Independent benchmarks and customer-reported gains across Discovery, Permissioning, and Growth.
12x
ROI vs. legacy, cookie-based privacy tools.
+95%
Productivity gain vs. manual DSR workflows.
+70%
Productivity gain vs. survey-based data discovery.
+38:1
ROI per $1 spent on preference & consent management.
Recent privacy enforcements
TikTok, Meta, and DoorDash were all fined for risk that went unassessed until a regulator assessed it for them.
Related reading
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