Empower AI withunified governance
Astralis governs how every model and agent uses enterprise data, in real time, so you can focus it all into powerful AI applications.
Trusted by
Runtime governance
Unified policy, enforced on intended use, everywhere data is accessed.
Warehouses, SQL clients, BI tools, MCP servers, AI agents, notebooks, and web apps. Astralis enforces the same policy at each by reading signal sources and evaluating governance posture in real time.
Technical foundation
Detect.
Decide.
Enforce.
AI has changed mandate of enterprise data governance. Roles-based permissions are no longer sufficient; a system must understand the purpose of a request and weigh it against the overlapping signals that impact a decision, at runtime. Astralis supplies the technical building blocks for governance based on purpose of intended data use.
DETECT - FIDES
Astralis uses Fides, the world’s most adopted open-source governance ontology. It allows enterprises to detect, label, and control data with regulator-ready precision.
DECIDE - LLRM
The Large Language Risk and Regulatory Model. Ethyca’s own regulatory reasoning and customized model for understanding risk in AI data decisions.
ENFORCE - PBAC
Purpose Based Access Control. Other controls decide who can touch data. PBAC decides what it can be used for; the only control built for AI’s actual risk surface.
DETECT - FIDES
Astralis uses Fides, the world’s most adopted open-source governance ontology. It allows enterprises to detect, label, and control data with regulator-ready precision.
DECIDE - LLRM
The Large Language Risk and Regulatory Model. Ethyca’s own regulatory reasoning and customized model for understanding risk in AI data decisions.
ENFORCE - PBAC
Purpose Based Access Control. Other controls decide who can touch data. PBAC decides what it can be used for; the only control built for AI’s actual risk surface.
Replace forms, templates, and time-consuming workflows with continuous risk assessments. Astralis knows the internal and external policies you must follow, and analyzes risk across your data, purpose, and vendor inventories. The result: governance can move at the speed of business and unlock empowered AI.
Purpose based access control monitors and enforces data access at runtime across AI agents, teams, and data projects. Policies are defined, evaluated, and enforced at the data layer, providing a governance framework that proves how data is used, not just who accesses it, ready for any regulatory audit.
Astralis is an end-to-end governance platform designed to provide a unified control plane for governance, risk, and compliance in the AI era. It can understand and enforce the full network of internal policies and global regulatory requirements for your data estate at the speed and scale that AI demands.
Evidence
Every decision backed by auditable evidence.
Astralis maps to the obligations your business has to meet, and generates supporting, regulator-ready evidence as it enforces them.
Where others claim a proprietary taxonomy, Astralis is built on Fides, the most-adopted open-source governance ontology across financial services, healthcare, life sciences, publishing, automotive and consumer technology.
Runs in your cloud
Astralis operates against your data inside your own infrastructure or privacy cloud. It never becomes a processor of your regulated data.
Deterministic enforcement
Every data access decision is reproducible and logged, so the audit trail is evidence-based and durable.
Regulator-grade intelligence
Astralis LLRM produces assessments that hold up with lineage captured continuously from across your enterprise.
Built for the speed of business
AI is forcing a deep change in the way data is handled within enterprises. Traditional compliance structures are failing because they ask individuals with pre-AI era tools to watch systems operating with the full scope and power of LLMs and Agentic AI. Astralis’ new, end-to-end governance approach is a single system in which policy rules are assessed based on a complete, dynamically updated mapping of all data categories in use - and the purposes for which that data is used.
6 wks → 5 min
Data access SLAs go from weeks to minutes
1 PB / day
Daily volume of data governed by Ethyca
150,000 / sec
Policy decisions enforced at runtime by Ethyca
- 6 wks → 5 min — Data access SLAs go from weeks to minutes
- 1 PB / day — Daily volume of data governed by Ethyca
- 150,000 / sec — Policy decisions enforced at runtime by Ethyca
- 744m/yr — Preferences processed annually
- 15 hrs > 17.2 sec — Subject request fulfillment time
- 200+ — Global brands using Ethyca
- <1 ms — Consent resolution at the edge
Architecture
Go deeper.
Ethyca’s enterprise architecture designed to make Astralis safe for rapid adoption at global enterprise scale.
Why Astralis?
Dive deeper into use cases and Astralis' reason for being.
Announcing Astralis: governing data at machine speedDocumentation
Deploy in your cloud, write policy, connect your surfaces.
Learn moreOpen source → Fides
The ontology the platform is built on.
Learn more