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From lab to submission, Egnyte provides a cohesive platform for managing data, documents, and collaboration across research, clinical, and regulatory workflows.
Egnyte provides life sciences teams with secure, role-based collaboration, centralized audit logs for compliance, and traceable workflows to seamlessly manage controlled quality events.
Strengthen governance and mitigate risk across the data lifecycle.
Get expert guidance, proven best practices, and tailored onboarding to help deploy Egnyte quickly, drive adoption, and stay compliant as requirements evolve.
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Data governance in life sciences means controlling the complete lifecycle of clinical, regulatory, and quality data — from classification and access to retention and audit readiness. With regulations like GxP, ALCOA+, and 21 CFR Part 11 governing how data must be created, stored, and traced, life sciences teams need a purpose-built governance layer that treats content as a strategic, auditable asset.
Egnyte uses AI-powered classification and tagging to map where sensitive, clinical, and regulated content lives across your repositories — GxP and non-clinical alike — and traces data lineage across the content lifecycle. This gives governance and compliance teams a unified view of their data landscape without manually auditing individual files, and surfaces sensitive or orphaned content before it becomes a compliance risk.
Egnyte maintains automated audit trails, version history, and activity logs aligned with 21 CFR Part 11 and ALCOA+ principles — so inspection preparation is continuous, not a pre-audit scramble. Every action on regulated content is tracked and traceable, letting teams produce complete evidence packages for FDA, EMA, and ICH E6(R3) reviews without manual reconstruction across scattered systems.
Egnyte applies fine-grained, role-based permissions that restrict access to regulated content by role, site, or study milestone — enforced consistently across internal teams, CROs, and vendors. Secure enclaves protect statistical and regulated data, so life sciences organizations can share content with external partners at scale without exposing intellectual property or violating data governance policies.
Egnyte identifies sensitive, outdated, and orphaned files before they create compliance exposure — streamlining retention policy enforcement and reducing the surface area for audit findings. Custom policies can detect specific content types, including scientific data, financial files, and PHI, and automatically apply classification, trigger review workflows, or surface findings through real-time governance dashboards.
Egnyte provides the governed content foundation that makes AI adoption safe in life sciences — ensuring AI tools only access properly classified, permissioned content. AI-powered classification automates metadata tagging and data routing, while AI Safeguards prevent sensitive regulated content from surfacing in AI responses for unauthorized users — keeping AI adoption aligned with GxP controls and compliance requirements.
Egnyte supports the core frameworks governing life sciences data: GxP content controls, 21 CFR Part 11 for electronic records and signatures, ALCOA+ principles for data integrity, and ICH E6(R3) for clinical trial standards. Controls for FDA, EMA, and regulatory submissions are built into the platform — not assembled through third-party compliance packages — allowing organizations to implement and validate quickly.