넳 넲

Background

Higher education is an important means for the country to carry out scientific research and cultivate talents. The continuous development of its digital and informational construction has effectively promoted the improvement of the quality of teaching and research. However, the increasing amount of sensitive data stored in various information systems introduced as a result, such as employee information, student information, teaching information, research information, asset information, library lending information, faculty and student consumption information, and internet usage information, is growing. Considering the lack of security measures during the early stages of digitization, the collection of an increasing amount of sensitive data also indicates a growing risk of data security.


Security Issues

1.Prevent hackers from stealing data through system vulnerabilities.
2.Guard against internal data security threats.
3.Risk of data leakage during development, testing, and teaching.
4.Inability to visualize data access risks.
5.Failure to meet regulatory requirements.

■ Industry Needs

■ Solution

• Use static masking to sever the connection between real data and individuals, providing the necessary data for development, testing, and teaching while preventing privacy issues caused by the leakage of real data.
• Employ database firewalls with independent authorization management mechanisms and virtual patches to comprehensively protect database operations.
• Utilize database encryption to store sensitive plaintext data in an encrypted form within the database, using a dual-layer authorization mechanism to prevent privileged access.
• Implement database auditing to fully record all database usage and promptly alert high-risk behaviors.

■ Customer Value

A multi-layer defense system for database security, composed of 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