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Background

With the development of new technologies in the healthcare industry (IoT) and the emergence of new demands (big data analysis, internet + healthcare), its informatization has shown characteristics of large-scale expansion, complex business forms, and diverse terminals. While informatization brings innovation, it also introduces new security risks and threats, among which data security risks require particular attention. According to relevant statistics, the healthcare industry's data breach ranking continues to rise, accounting for 24%, second only to the financial industry, making healthcare data a prime target for hackers.


Security Issues

1.Effective operational behavior recording and post-incident forensic capabilities.
2.Prevention of personal information leakage during data sharing.
3.Protection against hackers and "insiders" stealing "system" data.
4.Compliance with policy requirements.

■ Industry Needs

■ Solution

Facing the data security threats and current situation in the healthcare industry, strengthen control over database resource access, secure data sharing, safe storage of sensitive data, database access behavior auditing, and establishing a mechanism for tracing threatening operations to ultimately meet the requirements for database security. At the same time, it meets the compliance requirements for data security. The specific plan is as follows:
• Use database auditing to regulate the transfer and invocation of data, promptly discover abnormal activities and risks associated with data, generate alerts, and facilitate post-incident forensics.
• Employ dynamic data masking and database firewalls to prevent unauthorized access to sensitive data by internal operations personnel, and to prevent malicious and accidental operations.
• Utilize database firewalls to guard against data theft by external hackers through attack behaviors.
• Apply static data masking to provide offline data for development, testing, and analysis areas.

■ Customer Value

Comprised of a multi-layered defense system for database security, including database firewalls, data masking, database encryption, and database auditing, effectively preventing data leaks.

Depth Defense

Security measures are integrated throughout the entire data lifecycle, focusing on key aspects of data transfer, balancing business availability with data security.

Dynamic Protection

Supports both structured (databases, big data platforms) and unstructured (documents, files) data security solutions.

Comprehensive Protection