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Public Security Industry
Problems faced by the industry
Problems faced by the industry

With the development of technology, the public security industry has vigorously promoted the construction of the police big data platform, which brings together data of various dimensions to enhance the efficiency of public security work, but also brings about data security problems:

1Data involving a wide range, multiple dimensions, high sensitivity, large volume of data, and contact with a wide range of people, contact with many roles, supervision is difficult;

2The complexity of the business system architecture, data use scenarios, data security protection strategy needs to comprehensively cover a variety of scenarios;

3Data resources are exchanged and shared with various departments, and it is difficult to monitor and manage sensitive data during the flow process.

Program Overview

The data security solution for the police big data platform is closely integrated with the industry's data security needs to realize a secure data base:

1Effective mapping of sensitive data in the public security industry through data asset combing, forming data asset maps and sensitive data asset maps;

2Standardize the division of access rights of personnel in different roles, such as police personnel, auxiliary police personnel, IT information personnel, and third-party operation and maintenance personnel, so as to realize the effective control of internal data operation behavior;

3In the process of public security data exchange and sharing, follow the principle of minimization of data provision, through data desensitization and de-identification, de-privatization, to protect sensitive data from leakage at source; at the same time, add the corresponding data watermarking information, to enhance the traceability of data;

4Monitoring the security risks in the whole life cycle data flow process from the generation of sensitive public security data to scenario-based use, and timely alerts to remind managers to dispose of them;

5Using the data security management platform to break the data security silo, form the data security risk situational awareness capability of the whole network, joint prevention and control.

 


Application Scenarios
Application Scenarios
Application Scenarios

1Comprehensive management of public security data asset security, real-time and dynamic mastery of data asset storage location and distribution, data asset access, data asset security threats;

2Public security data security risk active defense, through the identification and interception of malicious data attacks and illegal invasion from the application layer and network layer, and timely closure of data access channels;

3Centralized monitoring and control of the operation behavior of public security internal personnel and external operation and maintenance personnel;

4Public security data sharing, exchange scenarios for the protection of sensitive data, high-risk data deletion, data export and other operations in a timely manner to block and warn;

5Public security data security situation awareness, so that managers clearly grasp the unit's data security situation.


Characteristics and Advantages
Cloud-integrated architecture support
Cloud-integrated architecture support

Comprehensive support for cloud architecture, can be seamlessly combined with the public security police cloud.

Customizable, multi-dimensional reporting
Customizable, multi-dimensional reporting

Built-in multi-dimensional reports, as well as the ability to customize reports to meet the needs of different scenarios.

Modular, extensible security framework
Modular, extensible security framework

Open and perfect system architecture, not only to support its own security capabilities unit, but also supports third-party vendors to access security protection equipment to form a more comprehensive situational awareness capabilities.

Advanced, multi-condition threat defense
Advanced, multi-condition threat defense

Built-in rich rule base, can quickly and effectively detect and protect such as SQL injection, APT attacks, hit the library, dragging the library and other attacks, at the same time, monitoring, protection rules define conditions up to more than twenty, more accurate protection.

Fine-grained big data protection
Fine-grained big data protection

Big data platform components fine-grained protection, can support different police big data scenarios.

Value Demonstration
Lifecycle data security, compliance assurance
Lifecycle data security, compliance assurance
Covering the data before, during and after the whole life cycle security protection system, comprehensively improving the data security protection capability of the police big data platform, and meeting the requirements of various regulations and standards.
Minimal authority principle, risk reduction
Minimal authority principle, risk reduction
Following the principle of minimizing the authority of data provision, it protects the sensitive police data from the source and reduces the risk of hidden danger.
Role-based access, data leak prevention
Role-based access, data leak prevention
The police data to realize the user role-based classification and hierarchical authority control, and effectively prevent the leakage of sensitive police data.
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