Sensitive Content Recognition

Ping32
Sensitive Content Recognition

Identifying and discovering sensitive data is the first step of enterprise data leakage
prevention. Ping32 takes content identification as the core to achieve to prevent
active or accidental data leakage and realize the compliant use of data.

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Intelligent Categorization Data

Improve File Classification Capability

The data generated throughout the terminal and in real time is catalogued to help
identify sensitive items so that data leakage from intentional or unintentional
operations can be prevented.

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Database Classification

Supports the identification and classification of unstructured data (documents, PDFS, forms) and structured data stored in terminals.

Sensitive Data Definition

Sensitive information is defined by keyword and regular expression, and condition extension is supported for more accurate identification.

Content Recognition Engine

Intelligent cache technology is used to prefetch data according to user operation habits and quickly identify sensitive content.

Sensitive Content Protection

Data flow containing sensitive content can be audited or blocked, and sensitive data is encrypted in a unified manner.

Sensitive File Encryption

Analyze terminal documents in real time and encrypt documents containing keywords through intelligent encryption policies.

File Transfer Interception

Alarms or blocks sensitive files sent out by terminals to prevent sensitive files from being copied on networks or storage devices.

Breach Risk Rating

Define a variety of sensitive content filtering rules to assess the risk of data transmission including top secret/secret/confidential classification.

Ac Sensitive Word Alarms

Identify the communication information in the process of terminal instant messaging, and alert the sensitive semantics in time.

Print File Interception

Support terminal print queue identification and analysis, prohibit the printing of files with sensitive information, prevent printing leaks.

Outgoing Mail Interception

Supports intelligent filtering and monitoring of email information and attachments, blocking email leakage threats in the first time.

Deep content recognition
in multiple scenarios and file types

The use of deep content analysis, static data, dynamic data and data in use for real-time identification,
monitoring and protection of related technologies.

Multiple File Types

Effectively prevent compression, encryption, data tampering, multi-layer nesting and other escape behavior.

Image Reduction

Identify sensitive text messages in images with powerful OCR technology.

Behavior Identification

Analyze and identify terminal operations, such as mail body, IM content, and print queue documents.

Improve Enterprise Data Loss Prevention

Deep Content Recognition

Powerful deep recognition content technology and a variety of documents and images, efficient processing of large amounts of data.

Behavioral Acuity

Supports the identification of a small number of multiple data leaks. Promptly take precautions against security policy violations.

Business Compliance

Meet the multi-dimensional sensitive data detection, and provide a basis for internal compliance management and external audit.

Low Reputational Risk

Prevent economic losses and reputational negative impact caused by data theft, and improve data security management capabilities.

NSecsoft Co., Ltd.

High-tech Zone, Jinan City, Shandong Province, China

Phone：400-098-7607

Facsimile：0531-55561663

E-mail：support@nsecsoft.com