About
Ethyca provides trusted data infrastructure designed for enterprises building with AI. Rather than bolting on compliance after the fact, Ethyca embeds governance—policy, consent, and control—directly into data wherever it moves. The platform is composed of five modular, integrated products: Fides (governance taxonomy and ontology), Helios (data inventory, catalog, and mapping), Janus (consent and preference orchestration), Lethe (automated DSR and de-identification), and Astralis (AI policy enforcement). Together, these modules operationalize trust across the full data lifecycle. Fides unifies privacy and data governance across teams, tools, and global regulatory requirements. Helios delivers operational intelligence for sensitive data from discovery to risk assessment. Janus standardizes permissioned data use with a centralized consent control center. Lethe automates deletion requests, de-identification, and retention management. Astralis scales data access intelligently from policy definition to real-time AI enforcement. Ethyca is trusted by enterprise companies including The New York Times, Vercel, Ramp, SurveyMonkey, and WeTransfer, particularly in regulated industries requiring GDPR and CCPA compliance. It is also recognized by the IAPP for its developer tooling. Ethyca is ideal for data engineering, privacy, legal, and compliance teams that need to move fast without sacrificing data governance.
Key Features
- Governance Taxonomy & Ontology (Fides): Unifies privacy and data governance across teams, tools, and global regulatory frameworks with a structured taxonomy for classifying sensitive data.
- Automated Data Inventory & Mapping (Helios): Discovers and catalogs sensitive data assets across systems, providing operational intelligence from discovery to risk assessment.
- Consent & Preference Orchestration (Janus): Standardizes permissioned data use with a centralized consent and preference control center to ensure only authorized data is used.
- Automated DSR & De-identification (Lethe): Honors user deletion requests at scale, automates de-identification workflows, and manages data retention policies automatically.
- AI Policy Enforcement (Astralis): Scales data access controls intelligently from policy definition to real-time enforcement for AI model inputs and pipelines.
Use Cases
- Automating GDPR and CCPA data subject access and deletion requests at scale across enterprise data systems.
- Governing sensitive data inputs to AI and LLM pipelines to ensure policy-compliant model training and inference.
- Building a centralized consent and preference management system to standardize permissioned data use across products.
- Discovering, cataloging, and risk-assessing sensitive data assets across distributed cloud and on-premise infrastructure.
- Unifying privacy governance taxonomy across cross-functional teams including engineering, legal, and compliance.
Pros
- End-to-end governance in one platform: Five modular products cover the full data governance lifecycle—from classification and inventory to consent, DSR automation, and AI enforcement—eliminating patchwork tool sprawl.
- Open-source foundation (Fides): The core Fides framework is open source, enabling developer adoption and extensibility before committing to enterprise licensing.
- Purpose-built for AI governance: Astralis and the broader platform are specifically designed to govern sensitive data used in AI workflows, filling a critical gap for enterprise AI teams.
- Trusted by top-tier enterprises: Proven deployments at organizations like The New York Times, Ramp, and Vercel demonstrate reliability and scalability in regulated environments.
Cons
- Enterprise-focused pricing: The full platform is geared toward enterprise customers, which may put it out of reach for smaller teams or early-stage startups on limited budgets.
- Implementation complexity: Deploying five modular products and integrating them with existing data infrastructure requires significant technical resources and onboarding effort.
- Limited self-serve transparency: Pricing and detailed feature comparisons are not publicly listed, requiring direct sales engagement to evaluate the platform.
Frequently Asked Questions
What is Ethyca and what problem does it solve?
Ethyca is a trusted data infrastructure platform that helps enterprises govern sensitive data in real time. It addresses the challenge of managing data access, consent, compliance, and AI policy enforcement at scale without slowing down engineering and AI teams.
Is Ethyca open source?
Yes, Ethyca's core Fides framework is open source and available on GitHub. Fides provides the governance taxonomy and developer tooling layer, while additional enterprise products like Helios, Janus, Lethe, and Astralis are part of Ethyca's commercial platform.
Does Ethyca support GDPR and CCPA compliance?
Yes. Ethyca's platform is designed to help companies comply with major privacy regulations including GDPR and CCPA by automating data subject requests, managing consent, and enforcing data use policies across all systems.
What is AI policy enforcement in Ethyca?
AI policy enforcement is handled by Astralis, Ethyca's fifth product module. It scales data access controls from policy definition to real-time enforcement specifically for AI model inputs and pipelines, ensuring AI systems only access data they are permitted to use.
Who is Ethyca best suited for?
Ethyca is best suited for enterprise organizations in regulated industries—particularly those building AI-powered products—whose data engineering, privacy, legal, and compliance teams need scalable, automated governance across complex data environments.
