For Enterprise | Ethyca | Ethyca
For Enterprise
Global enterprises don’t have the luxury of guesswork. Ethyca builds precision-engineered data privacy infrastructure that enforces compliance, automates governance, and integrates seamlessly across complex data ecosystems.
Enterprise Benefits
The enterprise partner to power trusted data
01
Multi-region privacy enforcement
Deploy controls at the infrastructure level for real-time compliance across global operations while dynamically adapting to evolving regional regulations.
02
High volume DSR orchestration
Execute thousands of data subject requests in parallel with distributed automation, eliminating latency across fragmented data ecosystems.
03
Unified governance across business units
Enforce policy consistency across siloed teams, integrating legal, security, and engineering workflows into a single, executable governance framework.
04
Enterprise-grade reliability & SLAs
99.9% uptime backed by dedicated incident response teams, ensuring mission-critical privacy infrastructure never becomes a point of failure.
Featured Customers
The New York Times
The New York Times delivers deeply reported, award-winning journalism to over 10 million subscribers globally. Its newsroom sets the standard for investigative rigor in a rapidly changing media landscape.WeTransfer
WeTransfer simplifies creative collaboration for over 80 million users worldwide. With beautifully designed tools for file transfer, feedback, and productivity, it enables ideas to move seamlessly across teams and time zones.Vercel
Vercel powers the fastest websites on the internet, enabling frontend teams to build, deploy, and scale with ease. Their platform combines edge infrastructure with a world-class developer experience.Axios
Axios delivers trusted, efficiently written news to millions of readers across business, politics, and tech. They redefine how information is consumed: clear, essential, and built for speed in a world that doesn't slow down.SurveyMonkey
SurveyMonkey empowers organizations to make confident decisions through agile, AI-powered surveys. With 20 million active users, its platform simplifies feedback collection at scale, turning voices into data and data into action.
Our Impact
Unlock value from data in any industry
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"Ethyca has been a great partner to work with. From their vast privacy intelligence and expertise to their ability to resolve issues quickly, we trust them to solve privacy for us."
— Guy Rom, VP of Engineering, Snackpass
"Ethyca handles all of our data privacy needs related to CCPA and GDPR. This has taken a significant amount of stress and confusion off of our team. They are truly experts in data privacy."
— Meg Marsh, Senior Director, Product Management & UX, Parachute
"Our scale of over 12,000 retailers can make compliance complex and resource-draining. Ethyca's platform simplified everything by removing all the manual effort common to other data privacy approaches."
— Jason Ordway, Former Chief Technology Officer, Slice
"Fides provides a standard for personal data governance to the entire advertising technology ecosystem."
— Michael Hahn, General Counsel, IAB
The five feature layers for trusted data
↳ Ontology & taxonomy
01
Model and enforce data policies using a unified privacy taxonomy, enabling consistent consent, classification, and governance across complex systems.
Fides View on Github
↳ Data intelligence
02
Map and classify sensitive data at scale with precision, enabling always-on visibility and regulatory alignment across systems, environments, and third-party vendors.
Helios
↳ Consent orchestration
03
Enforce real-time user preferences with determinism—apply consent signals across systems instantly and revoke access dynamically when permissions change or expire.
Janus
↳ Automated DSR
04
Automate subject rights requests end to end, with intelligent routing, data resolution, and policy-driven response logic. No more manual reviews or audit gaps.
Lethe
↳ AI usage controls
05
Make privacy rules executable by design in AI systems. Fides translates legal obligations into enforceable policies applied across training, inference, and model governance.
Astralis