Symmetry Systems for


Protecting Patient Information and Data

Healthcare organizations are a common target for hackers, nation-state sponsored threat actors and cybercriminals—with their patient data at stake Obtaining private identifiable information (PII) is a lucrative goal for threat actors, as the data can be sold on the dark web, or otherwise utilized for nefarious purposes.

Security and privacy teams need to focus on a data-centric way to manage the security posture of their data, to keep it under control and out of the hands of hackers.

Doctor studying a brain scan on a wall screen
Doctor using a laptop at a desk in a hospital

Protecting Patient Data

Data security is one of the most pressing challenges facing the healthcare industry today, especially with sensitive patient data making them prime targets for malicious actors. Cybercrime’s recent surge has led many healthcare organizations to realize that they need better data security to combat the common challenges they face.

Healthcare Data Security Challenges

Healthcare Compliance and Data Privacy Impacts
Transition to Hybrid Cloud
Doctor using a tablet

Healthcare Compliance and Data Privacy Impacts

Industry regulations such as HIPAA and HITECH demand information security around many elements, including data security, data visibility, and access control. Increasing cloud adoption, as well as widely adopted telemedicine spurred by the COVID pandemic, has increased vulnerabilities and threats to healthcare organizations. This has increased cyber risk exposure for healthcare organizations and has made security and compliance efforts even more painstaking.

Female medical professional sitting at her desk using a tablet

Transition to Hybrid Cloud

With continued data migration to the cloud, the healthcare industry is experiencing the associated challenges of exploding data volumes and inevitable data sprawl. Healthcare security operations teams are often forced to find a needle in a haystack using solutions not purpose-built for data security that often require manual tasks. The healthcare industry had the worst per-data-breach cost of $9.23 million in 2021, a 30 percent increase from $7.13 million in 2020.1 Pharmaceuticals followed them with a $5.04 million per-breach cost.1

1 Source: IBM/Ponemon

Comprehensive Data Security with DataGuard

Healthcare cybersecurity teams use DataGuard to develop a complete understanding of what data they have, where it is located, who has access to it, how it is secured and in what manner it has been used.

With DataGuard DSPM, the healthcare sector can:
  • Conform to HIPAA, French HDS, ISO 27799, HITRUST and other health data regulatory compliance/standards while moving into hybrid cloud operations.
  • Minimize potential data risks and exposure with visibility into the enterprise data across cloud environments.
  • Automate data management and security tasks on a single console for the hybrid cloud.
DataGuard environment report screen

Enforce Data Security Best Practices


  • Discover sensitive data, even where you didn’t know you had it
  • Understand who has access to which sensitive data in your on-premise and multi-cloud data stores

Visualize and Detect

  • View a data map to quickly identify violations of least privilege for data access to simplify zero trust strategies
  • Detect and control out-of-country data operations and maintain compliance with privacy regulations


  • Minimize the cost and risk of data exposure by reducing access to dormant data
  • Improve the security posture of your sensitive data and cloud data stores

Respond and Recover

  • Minimize the cost and risk of data exposure associated with cloud data stores
  • Reduce time to detect and remediate data security issues to minimize data breach cost
Healthcare Solution Brief

Download our Healthcare industry solution brief:

Learn more about Symmetry Systems for

The Healthcare Sector

DataGuard enables healthcare organizations with a single source of truth about their data security posture and associated data risks across AWS, GCP, Azure, and on-premise environments—without having data ever leaving their environment.

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