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Introducing Ethyca as the trusted data layer for enterprise growth and AI

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Most AI governance tools fail because they focus on observation over control -documenting risks without providing the infrastructure to act on them.

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Governance taxonomy

Consent orchestration

AI policy enforcement

News

Stay updated with the latest from Ethyca—industry news, product updates, team announcements, and thought leadership on the future of data privacy.

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layers of data in various colors

Introducing Ethyca as the trusted data layer

for enterprise growth and AI

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Research Signals

How to govern data and AI

With a policy-as-code approach

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RoPAs in the age of AI:

The old way is no longer fit for purpose

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Scaling DSR fulfillment:

Why infrastructure beats workflows

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Privacy Practice

Why traditional data mapping fails AI

And how to fix It

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Privacy Practice

The privacy technical debt trap:

Why labeling data wrong costs millions

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Privacy Practice

EU AI Act Part 3:

The new world of live system compliance

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Privacy Practice

The Minnesota Consumer Data Privacy Act (MCDPA):

What it means for businesses

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Privacy Practice

EU AI Act Part 2:

Achieving GPAI compliance

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Code, canvases and commitment to accessibility:

A chat with Jason Gill, Senior Software Engineer

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Privacy Practice

EU AI Act Part 1:

AI data becomes legal liability

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General Data Protection Regulation