Unlock Faster, Safer Research with an AI-Enabled Trusted Research Environment

Research teams are drowning in data, security reviews, and slow access workflows. An AI-enabled Trusted Research Environment (TRE) removes these bottlenecks by giving scientists fast, compliant access to multimodal data, while giving IT full governance and cloud control.

This guide explains how leading organizations use TREs to eliminate friction, accelerate discovery, and safely deploy AI across research programs.

What You’ll Learn:

• Slash Security & Compliance Work: Modern TREs automate compliance (HIPAA, GDPR, SOC II), auditing, and granular access controls, reducing manual reviews by up to 100x.
• Cut Data Access from Months to Minutes: AI-powered search, natural-language data discovery, and governed self-service give researchers what they need without increasing risk.
• Control Cloud Costs at Scale: BYOC models, transparent billing, and optimized storage/compute keep cloud spend predictable, even at petabyte scale.
• Enable Secure Collaboration: Support seamless cross-site, multi-study, and external partner collaboration without introducing new security gaps.
• Boost Research Productivity with AI: AI agents accelerate cohort creation, QC, exploratory analysis, and hypothesis testing—moving teams from weeks of scripting to minutes of insight.

Why It Matters

Organizations face exploding data volumes, rising regulatory pressure, limited data engineering resources, and increasing demand for AI-augmented research. A modern TRE is now the backbone for fast, secure, scalable scientific discovery.