How Ethyca Works | Trusted Data Control Plane | Ethyca
How it works
Ethyca enforces data policy as a control plane for the enterprise. It turns legal requirements into automated controls that govern how sensitive data is used across teams, systems, and AI workflows.
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1 | Structure data for governance
Fides is the open-source programming language for sensitive data. It defines categories, usage purposes, and policy logic in machine-readable code, creating a collaborative framework that legal, product, and engineering teams use to govern data consistently across the business.
2 | Build real-time intelligence
Helios continuously discovers and classifies sensitive data across your systems applying the Fides taxonomy and ontology. It creates a live inventory of where data lives, how it moves, and what risk it carries—forming the context layer for privacy, compliance, and AI control.
3 | Enforce permissioned data use
Janus collects, records, and enforces user preferences—consent, legal basis, purpose—and applies those permissions automatically across your systems. It ensures that every use of data is backed by legal authority and executed consistently across pipelines, apps, and models.
4 | Automate compliance actions
Lethe operationalizes privacy rights and policy-driven workflows—from deletion and de-identification to retention enforcement. It builds on Helios and Janus to execute changes at the system level, making data safe to use without introducing manual friction.
5 | Govern sensitive data in use
Astralis embeds policy controls into the point of data use—ensuring every AI model, dashboard, or API query adheres to field-level, purpose-specific rules. With enforcement tied directly to Fides policy, Astralis brings governance to runtime and analytics systems with clarity and precision.
BENEFITS
Control data use at scale and unlock AI for growth
One policy, everywhere
Standardize governance across teams and systems.
Ethyca codifies legal requirements into structured, machine-readable policy. No more handoffs, guesswork, or PDFs lost in inboxes. Legal defines the rules; engineering enforces them, all in the same control plane.
AI that respects its inputs
Only use data that meets your standards.
Ethyca validates data against consent, legal basis, and purpose restrictions before it’s used in analytics or AI. That means only policy-cleared, compliant data enters your models — from training to inference.
Ship without second-guessing
Automate enforcement so your teams can build.
Ethyca replaces manual reviews with automated enforcement for privacy, rights, and retention. The result: fewer slowdowns, no compliance bottlenecks, and faster time-to-launch—without regulatory debt.
Trust that’s built-in
Make compliance the default, not an afterthought.
Trust isn’t a checkbox. It’s a system architecture. Ethyca embeds compliance into your infrastructure — so every data flow, across every product or pipeline, aligns with your policies by design.