Secsmart selected by ARN in the "Technical Application Guide for Data Security Posture Management (2024 Edition)"

创建时间:2025-03-13 10:09
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Recently, ARN, a leading authoritative media in local cybersecurity industry, officially released the“Technical Application Guide for Data Security Posture Management (2024 Edition)” . Secsmart was recognized as one of the "Top 10 Representative Vendors in Data Security Posture Awareness" for its Data Security Center.

ARN's Remark

 

Secsmart Data Security Posture Management:

Scenario1: One-stop data security solution  

Scenario2: Deep data analysis and mining

Scenario3: Variety of data security products and services

 

Tailored for medium-to-large enterprises requiring data security products and services, especially government industry, such as Big Data Bureaus, Digital Government, and so on.

Secsmart Data Security Center (Posture Awareness) is a platform-level product, integrating data asset governance, risk posture awareness, security device management, and data security operation.

The product conforms to enacted laws, regulations, and business requirements, offering full-scale inventory for data asset and sensitive data identification to solve  the problems of asset mapping difficulty and classification difficulty.

 

By real-time and offline risk models, the platform enables precise and high-efficient risk monitoring and identification, bases multi-type security log collection.

 

Through unified security product integration and customizable security policy, the platform supports Secsmart’s all product categories cooperation with security capabilities, solving issues of fragmented security products and decentralized management.

Secsmart Data Security Center provides different scenarios posture awareness for government and enterprise customers, through comprehensive report and dashboard, provides operation solution for data security.

 

Key Features
Precise and high-efficient sensitive data identification engine: Combines keyword matching, regular expressions, document classification and other identification technologies, supports composite algorithm pattern.


Flexible intelligent risk analysis of data risk: Built-in risk models, offline models, and customized rules, supports real-time, offline, and AI-driven analysis capability.


Comprehensive data security capability collaboration: Enables data interoperability and information sharing with other data security terminals. Supports one-click delivery of security policies, data classification and grading results, and further linkage..