Trusted Research Environment
Secure analysis where the data lives
Trusted Data Lakehouse
Connect and catalog distributed data
Federation
Query many sites as one, nothing moves
TrustOps & Airlock
Keeps data in place, secured with Airlock controls
AI Scientist Studio
AI Scientists that work inside your TRE
Sovereign AI
Run models where the data lives
Trusted DataHub
Query federated data instantly
Lifebit R.E.A.L.
Real-time drug safety surveillance
Trusted Data Factory
OMOP and FHIR harmonization at scale
Trusted TargetID
Validate drug targets on real cohorts
Rapid Data Products
Curated datasets, delivered fast
Trusted Data Marketplace
Discover data on 275M+ patients
New
AI Scientists that run inside your Trusted Research Environment. Data never leaves the source.
See the Studio →
All products →
Pricing & plans →
Trust Center →
Government
National health data programs
Commercial pharma
Discovery, trials and real-world evidence
Health systems
Clinical data for research and care
Health nonprofits
Cohorts and registries, safely shared
Biobanks & data providers
Make data usable without releasing it
Target validation
Clinical trial optimization
Patient registries
ADR & outbreak surveillance
Population genomics
Data harmonization (OMOP, FHIR)
NGS data analysis
Customer story
“I am incredibly excited that Lifebit joined us to launch the next phase of our research capabilities.” Chris Wigley, former CEO
Read the case study →
All use cases →
All customer stories →
Blog
White papers
Publications
Customer stories
News
About us
Careers
Technology partners
Trust Center
Contact us
Help center
Book a demo
Pricing & plans
Latest white paper
How pharma teams use federated real-world data without moving a record.
Read the white paper →
Federated TRE guide →
What is a TRE? →
Home/Blog/Page 4
The Library
Every article in the Library, newest first.
Searching…
Search is not available right now.
All835Trusted Research Environment70Technology465Industry215Announcements69Opinion26
835 articles · page 4 of 70
A data clean room is a neutral computing environment — originating in advertising technology — where two or more parties match and analyze their…
Under the General Data Protection Regulation (GDPR), anonymization and pseudonymization are legally distinct concepts with opposite consequences.…
Output checking is the process of reviewing every result a researcher wants to take out of a Trusted Research Environment (TRE) — tables, figures…
A Data Access Committee (DAC) is the governance body that reviews and decides applications from researchers who want to use a sensitive dataset…
Differential privacy is a mathematical framework that limits how much any single individual's data can influence the output of an analysis, by adding…
Synthetic health data is artificially generated data that mimics the statistical properties of real patient data without corresponding to real…
The European Health Data Space (EHDS) is a European Union regulation — Regulation (EU) 2025/327 — that creates a common legal framework for using…
Centralized data governance copies datasets into a single repository, making harmonization easy but creating regulatory, security and scalability…
The Five Safes framework is the canonical model for governing research access to sensitive data, comprising Safe People, Safe Projects, Safe…
An automated airlock is the disclosure-control gate at the boundary of a Trusted Research Environment (TRE) that reviews every output before it…
AI safety monitoring software observes production AI for model drift, validates outputs against policy, detects jailbreaks, and controls data egress…
Among electronic health record (EHR) vendors in 2026, the five most trusted by clinicians and informatics leaders are Epic , Oracle Health , MEDITECH…
