Industry Background
The global healthcare industry is at a critical juncture of digital transformation, with continuous innovation in business models and the widespread application of technological advancements such as artificial intelligence, big data, and cloud computing in disease diagnosis, patient monitoring, and medical management. As the value of medical data becomes increasingly evident, the security and privacy protection of Personally Identifiable Information (PII) and Protected Health Information (PHI) have become a focal point of concern for the industry. Medical institutions must comply with global and regional regulatory requirements to protect the lifecycle security of personal privacy and health data assets and address various insider threats.
Industry Needs
The data security needs of the medical industry primarily focus on
- Data privacy protection Safeguarding patient privacy and personal information, and preventing data breaches.
- Regulatory and compliance Compliant with the legal and regulatory requirements of multiple countries.
- Insider threat protection Set and take effective protection measures against the risk of data breach caused by insider staff.
- Data sharing and application risk management Ensure data is safe and compliant during the course of sharing and commercialization.
Solutions
In response to the medical industry’s data security needs, we propose the following solutions
- Data Security Governance (DSG) framework Leverage current business operations to balance business needs and risks, identify and label core data assets, and build a comprehensive life cycle management system for datasets.
- Combine a multi-dimensional data loss prevention technology and CARTA modelIntegrate data security protection capabilities across all IT scenarios, to form an integrated analysis and protection system and build an adaptive and automated security protection platform.
- Insider Threat Management ITM Once data risk is detected, leverage behavior analysis technology to monitor and predict insider users’ behavior, and effectively locate insider threats that may possibly bring about data risks and conduct coordinated protection.
Typical Scenarios
Scenario 1: Data protection for third-party staff within medical institutions
Deploy network data security gateway and endpoint DLP system to monitor and audit these staff’s access and transfer behavior to sensitive data and prevent data breach.
Scenario 2: Compliance monitoring of API calls to application data in medical institution
With Advanced Secure Web Gateway (ASWG) to conduct deep content and security inspection and analysis to API calls, to make sure data exchanging compliant.
Scenario 3: Insider threat analysis and protection in medical institution
Advanced data leak prevention techniques across multiple dimensions and scenarios, combined with network traffic logs, web access behavior logs, and ITM risk model analysis, enable intelligent analysis of user behavior to promptly detect and respond to insider threats.
Solution Values
- Compliance Assurance Ensure adherence to legal and regulatory requirements, thereby mitigating compliance risks.
- Provide comprehensive data protection Provide comprehensive protection to data derived from network, server and endpoints, making sure all data are safe.
- Manage risks intelligently Leverage AI technology to run intelligent analysis to user behavior, to enhance the detection accuracy to risky events and reduce the false positive alerts.
- Prevent risks proactively With dynamically-updated user risk probability values, to strictly control risky users’ risk behaviors and proactively defend against potential threats.
- Lowered operational and maintenance cost Utilize automation and centralized management to reduce response time and associated costs during security events.
Conclusion
SkyGuard’s data security solution for the medical industry offers a comprehensive and intelligent protection system for medical institutions by integrating the DSG framework, CARTA model, and ITM technology. This solution not only meets the needs of medical institutions for data privacy protection and compliance, but also strengthens the protection against insider threats and improves the security of data sharing and application. Through this series of measures, medical institutions can better protect patient privacy, ensure data security, and promote the high-quality development of medical services.