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Modern cyber resilience for healthcare and life sciences

Overview

The healthcare and life sciences (HLS) industry is experiencing a revolution, driven by AI models, vast amounts of critical patient data, and cutting-edge research. At the same time, cyberattacks continue to grow in frequency, scale, and impact. Effective data security and protection are essential for patient privacy, transformative medical research, and compliance.

 HLS organizations must address several critical areas:

Rapid growth in patient data: The healthcare industry generates massive volumes of patient data, including electronic health records (EHRs), electronic medical records (EMRs), medical images, and genomic data. Protecting, securing, and accessing data across IT systems, employees, and AI models is a significant challenge. 

Research collaboration: Life sciences organizations must securely share data across institutions, partners, and geographies while maintaining control and data integrity.

Regulatory compliance: Organizations must meet strict and evolving data privacy, security, and sovereignty requirements, including HIPAA and GDPR. 

Data protection: Organizations must protect data against loss, corruption, and cyber threats to maintain patient care, operational continuity, and trust.

Strengthening cyber resilience in healthcare and life sciences

To address each of the critical areas outlined above, healthcare and life sciences organizations must take a comprehensive approach to cyber resilience. The Cohesity Data Cloud enables this approach across five key steps:

Figure 1

 Fig. 1: The Cohesity 5 Steps of Cyber Resilience


Key Benefits

  • Increased cyber resilience
  • Rapid recovery
  • Lower total cost of ownership
  • Streamlined compliance with industry regulations (e.g. HIPAA)
  • Simplified data security and protection with a single UI
 

Who We Work With

  • National and local healthcare providers
  • Healthcare payers
  • Pharmaceutical and biotechnology organizations
  • Laboratory services
  • Drug manufacturers and distributors 

Step 1. Protect all data

Protects 1000+ data sources including virtual machines, SaaS applications, databases, and NAS environments as well as Active Directory and EntraID across on-premises and multiple clouds, including healthcare data such as EHRs/EMRs, medical imaging, and research data.

  • Unified protection across SaaS, on‑prem, and cloud data sources (VMs, databases, NAS, SaaS apps, identity systems)
  • Centralized platform for managing protection policies at scale
  • Global deduplication and compression to lower costs while reducing risk exposure
  • Consistent protection for both data and identity systems

Step 2. Ensure data is always recoverable

Supports immutability, multifactor authentication, role-based access control, separation of duties, and cyber vaulting to ensure critical healthcare data is secure and always recoverable.

  • Platform hardening with security controls (e.g., MFA, role‑based access, separation of duties)
  • Cyber vaulting to isolate critical data for emergency recovery (cloud‑managed or self‑managed vaults)
  • Immutable, tamper‑resistant backup copies to protect against ransomware and insider threats

Step 3. Detect and investigate threats

Uses AI-powered anomaly detection, hash-based threat hunting, malware scanning, and integration with Google Threat Intelligence to detect and isolate threats before they impact patient care or operations.

  • Continuous scanning of recent backups for known and emerging threats
  • Anomaly detection to identify suspicious activity and unusual behavior patterns
  • Use of curated threat intelligence feeds to uncover new attacks
  • Visibility into vulnerabilities and gaps in data protection coverage

Step 4. Practice application resilience

Provides intelligent orchestration and clean room solutions to ensure reliable incident response and recovery of healthcare applications and systems after an attack. 

  • Automated and refined testing of response and recovery processes for infrastructure, data, and applications
  • Orchestrated recovery workflows to reduce downtime and human error
  • Validation of clean recovery environments to avoid reinfection
  • Operational readiness across IT, security, and application teams 

“We’re trying to deliver quality healthcare with limited budget and resources. Cohesity is reliable and on top of that, we get the ease-of-use value and the speed at which it performs. All of Cohesity’s innovation helps our engineers do something immediately and then quickly move to the next task. Now as my team says, it’s also putting ransomware extortionists out of business.” 

— John Gaede, Director of IS, Sky Lakes Medical Center

Step 5. Optimize data risk posture

Integrates with DSPM solutions from Cyera and others to identify unprotected sensitive data and ensure it is protected, while maintaining compliance with requirements such as HIPAA and GDPR during recovery. 

  • Data security posture management to understand what data exists and where it lives
  • Data classification to prioritize protection of sensitive and high‑value information
  • Identification of gaps in protection and recovery coverage
  • Faster risk assessment to guide ongoing security and resilience improvements 

Conclusion

In the healthcare and life sciences industry, cyber resilience is nonnegotiable. As data volumes grow and threats evolve, organizations need a modern, unified approach to securing, managing, and recovering critical data. The Cohesity Data Cloud enables this approach across the five key steps of cyber resilience, helping ensure data is protected, recoverable, and resilient in the face of disruption. 

By adopting this comprehensive strategy, healthcare and life sciences organizations can safeguard patient data, maintain compliance with regulations, and support continuous care delivery and research operations.

Figure 2: our customers
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