Life Sciences & Healthcare

Data, AI and Secure Microsoft Cloud for Healthcare & Life Sciences

Govern clinical, research and workplace data, enable secure private AI and Copilot, and modernize identity and cloud — while respecting HIPAA and FDA requirements.

Industry Risks

Critical Exposure Points

Healthcare and life sciences face heightened regulatory scrutiny and sophisticated threat actors targeting sensitive patient and research data.

HIPAA & FDA Compliance Gaps

Complex regulatory requirements create ongoing compliance challenges across clinical, research, and administrative systems.

PHI & Research Data Exposure

Protected health information and clinical trial data scattered across M365, EHR integrations, and collaboration tools.

Legacy System Vulnerabilities

Aging infrastructure, medical devices, and lab equipment introduce security blind spots across care delivery and research networks.

Identity Management at Scale

Managing access for clinicians, researchers, contractors, and partners across facilities demands sophisticated identity controls.

Business Impact

What's at Stake

When security gaps go unaddressed, the consequences are financial, operational, and regulatory.

Financial Exposure

Healthcare breaches average $10.93M — the highest of any industry. HIPAA violations carry penalties up to $1.5M per category.

Patient Safety Risk

Compromised systems can disrupt care delivery, delay treatments, and expose patients to safety risks.

Regulatory Consequences

FDA warning letters, HIPAA enforcement actions, and loss of research funding create cascading compliance impacts.

Tailored Solutions

How Insyto Helps

Services mapped directly to the challenges that matter most in your industry.

Identity

Zero Trust for Healthcare

Implement identity-centric security with conditional access, MFA, and privileged access management across clinical networks.

Data

PHI & Research Data Governance

Discover, classify, and protect PHI and research data across SharePoint, OneDrive, Teams, and Exchange with sensitivity labels and DLP.

Devices

Clinical Device Management

Secure and manage clinical workstations, shared devices, and mobile endpoints with Intune and compliance policies.

AI Governance

AI Readiness for Healthcare

Establish governance frameworks for responsible AI adoption in clinical decision support and research workflows.

Related insight

Life sciences Microsoft 365 transformation across 60,000+ users

Read the life sciences M365 transformation
Proven Results

Real Outcomes

Case Study 1

A multi-hospital health system with 25,000+ employees across 40+ facilities.

HIPAA compliance gaps, PHI exposure in collaboration tools, and inconsistent identity controls across facilities.

70%
Attack Surface Reduced
100%
MFA Coverage
40+
Sites Secured
HIPAA
Compliance Aligned
Unified identity governancePHI classification deployedConditional access enforcedAudit-ready documentation

Case Study 2

A global life sciences company with clinical trials across 12 countries.

Research data exposure, inconsistent access controls for CROs, and FDA audit readiness concerns.

100%
Data Classified
85%
Risk Reduction
6 wks
Implementation
12
Countries Covered
FDA-ready data governanceCRO access controlsResearch data encryptionSensitivity labels deployed
Use Cases

AI, Modern Workplace & Governance

Real use cases with governance and security built in from day one.

AI-Assisted Clinical Documentation

Use Copilot to streamline clinical notes, discharge summaries, and care coordination.

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DLP policies prevent PHI from leaving approved systems. Sensitivity labels auto-classify clinical documents.

Secure Research Collaboration

Enable cross-institutional research collaboration on Teams with external partner access.

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Information barriers protect trial data. Guest access policies enforce sponsor requirements and regulatory boundaries.

Compliance Dashboard & Reporting

Centralize compliance posture visibility across HIPAA, FDA 21 CFR Part 11, and SOC 2.

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Automated compliance scoring with Purview. Continuous monitoring flags policy violations before audits.

Engagement Model

How We Work

01

Assess

Industry-specific discovery and risk evaluation across identity, data, and compliance.

02

Secure

Remediate critical exposures and harden your Microsoft environment.

03

Deploy

Roll out governance, AI controls, and modern workplace capabilities.

04

Optimize

Continuous improvement, adoption support, and ongoing advisory.

Ready to Secure Your Operations?

Let's discuss your industry-specific security and transformation goals.