Runtime governance for empowered AI

Control how every model, agent, and system uses enterprise data in real time, for AI that yields ROI instead of risk.

NewAnnouncing Astralis: governing data at machine speedRead the story

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Legacy data governance can’t keep pace with AI adoption.

Ethyca is the governance harness for trustworthy AI that defines, evaluates, and enforces data policies at the point of access.

Govern and comply in a single layer

01Data Inventory MappingDetect your data

Discover personal and sensitive data across your infrastructure, websites, and third-party apps, or enrich existing DSPM and catalogs. The result is a unified source of data intelligence, risk, and insight to support governance obligations.

Warehouse

SNOWFLAKE · BIGQUERY

Websites

COOKIES · TAGS · SDKS

Infrastructure

AWS · IDP

Scan + classify

AUTOMATED DETECTION

PII

Financial data

Biometric data

CLASSIFIER OUTPUT

SENSITIVE DATA

42%

GAP REPORT

38need a data steward

12PCI-DSS datasets

GOVERNED

98%

02Continuous Risk AssessmentAssess risk in real time

Replace forms and template maintenance with continuous risk assessments. Astralis, made by Ethyca, knows the internal and external policies you must follow, and continually analyzes risk across your data, purpose, and vendor inventories.

RISKS · OPENRE-EVALUATED NIGHTLY

17vendors without DPA

22systems missing lawful basis

12cross-border transfers

31AI use cases unassessed

AGENTIC ASSESSMENT

✦

You're onboarding two new AI products that handle sensitive data. Should I draft DPAs for every state you operate in?

Data catalog

3,412 DATASETS MAPPED

ROPA + vendors

87 PROCESSORS

Regulations

GDPR · EU AI ACT · CPRA

REPORT

✓PA-2026-014

MITIGATIONS

✓Route GPC to ad server

Add DPA for vendor

Gate model on consent

RISK REGISTER

AI USES · 31

DPA · 17

BASIS · 22

XFER · 12

03Purpose Based Access ControlGovern access through purpose

Purpose based access control monitors and enforces data access across AI agents, teams, and data projects. Policies provide a governance framework that proves how data is used, not just who accesses it, ready for audit.

PURPOSES TAXONOMY

● operational.support

● essential.service

● analytics.reporting

■ marketing.segmentation

● ai.training

● personalize.content

● disclosure.third_party

✦ASTRALISMCP GATEWAY · POLICY-CHECKED

Build a list of customers from recent credit scores and risk profiles, for our next campaign.

✦

Here's your list. It would have pulled in demographic details we don't allow for marketing, so I left those out and used credit thresholds instead.

INFERRED PURPOSEmarketing.segmentationquery rewritten

Policy check

MCP GATEWAY · EVERY CALL

POLICY · NO PROTECTED-CLASS PROFILING

Access is granted by purpose, not just identity — every agent call is checked before it runs.

04Consent & Lawful BasisCapture lawful basis everywhere

Fine-grained, high-performance consent and preference management. Model any consent or preference framework, from GDPR to CCPA, and respect user choice wherever data is accessed - models and agents included.

CONSENT · PER USE

Automated profiling

Data sharing

Marketing

CONTRACT OBLIGATIONS

CLAUSE 12.1 · DPA

"Any secondary use — including profiling — requires the customer's documented consent."

MODELED AS POLICY

CUSTOMER BASE

2.1M

1.52M · 72%

ANALYZABLE

628K · 28%

EXCLUDED · NEVER TOUCHED

✦

I can analyze only customers who permit automated profiling — 1.52M of 2.1M. Of those, 83% show high propensity.

72%

PERMIT PROFILING

83%

HIGH PROPENSITY

628K

EXCLUDED · NO CONSENT

05Rights & De-identificationModify data on request

A flexible, policy-based data access and de-identification engine enables targeted, scaled data rights enforcement across your infrastructure, integrating with databases, warehouses, and third-parties to meet data obligations.