Dynamic Data Protection 數據保護軟體-資訊資安軟體/新永資訊有限公司

Dynamic Data Protection 數據保護軟體

Dynamic Data Protection 數據保護軟體

  • Dynamic Data Protection 數據保護軟體
  • 編號
  • 類別
    資訊資安軟體
  • 介紹
    Prepare for the next level in user and data security with Forcepoint Dynamic Data Protection. Significantly reduce time to discovery, holistic forensic investigations, and alert burdens caused by false positives, allowing you to quickly respond to risk while maintaining optimum business efficiencies.
  • 價格

Dynamic Data Protection

Data protection in the Zero Trust Center 
The modern zero-trust architecture
pushes organizations to adopt a more data- and user-centric approach, while moving away from
peripheral-centric approaches. It is a key element
of today's digital business.

Forcepoint's Dynamic Data Protection (DDP) fits
your zero-trust architecture and features:
Personalized adaptive data strategy
Behavioral analysis-driven insights
Data discovery and classification
Maximize the efficiency of security analysts and reduce fatigue


Improve the effectiveness of DLP through behavioral analysis 
Personalized adaptive data strategy 

Replace extensive and comprehensive security with personalized, adaptive data strategies that will not slow down employees.
Use comprehensive behavior analysis to generate a unique risk score for each user
Apply fine-grained strategies one-to-one based on individual users’ risk scores


Behavioral analysis-driven insight 
Dynamic data protection is based on the award-winning enterprise DLP and leverages Forcepoint's
dynamic user protection for cloud hosting behavior analysis.

Unify discovery, analysis and execution, improve the efficiency of investigation of surface anomalies,
and proactively protect your data
Reduce manual decision making and overall alert
volume


Data discovery and classification 
Discover data across all channels (including cloud, network, and endpoints), and use classification solutions to safely process critical data and IP.
Identify and protect sensitive data in the corporate environment, such as detection in file servers, SharePoint, Exchange, and databases
Seamless integration with classification solutions
such as Boldon James™, Microsoft® Azure Information Protection and Titus™


Maximize the efficiency of security
a nalysts and reduce alert fatigue 

Dynamic data protection transforms an
organization from an event-centric approach
to a risk-centric approach to data protection

Stay ahead of leaks through the orchestration
of policy adjustments at the user level 
Improve
investigation efficiency and increase team capacity







 
 

系統需求

OS:
Windows 11
Windows 10
macOS
Processor: Neo on macOS is supported on Intel processors, and is not supported on Apple M1 processors.

CPU:
2 cores with 1 GHz or faster
HD:
16 GB for 32-bit OS
32 GB for 64-bit OS
At least 3 GB free disk space for operations
Internet connection
Internet connectivity is mandatory to retrieve policies and updates, and to report alerts to Neo cloud management.
Neo remains fully operational and monitors user activities, including storing alerts and events locally on the hard drive when disconnected from the internet. All information stored locally is reported to the cloud when internet connectivity is restored.







 
 

Dynamic Data Protection

零信任中心的數據保護 
現代零信任架構推動組織採用更加以數據和用戶為中心的方法,同時擺脫以外圍為中心的做法。它是當今數字業務的關鍵要素。  

Forcepoint 的動態數據保護 (DDP) 適合您的零信任架構,具有:
個性化的自適應數據策略
行為分析驅動的洞察力 
數據發現和分類
最大限度地提高安全分析師的效率並減少疲勞


通過行為分析提高 DLP 的有效性 
個性化的自適應數據策略 
用不會拖慢員工速度的個性化、自適應數據策略取代廣泛、全面的安全性。

使用全面的行為分析為每個用戶生成獨特的風險評分
根據個人用戶的風險評分,一對一地應用細粒度策略


行為分析驅動的洞察力 
動態數據保護以屢獲殊榮的企業 DLP 為基礎,並利用 Forcepoint 的動態用戶保護進行雲託管行為分析。 

統一發現、分析和執行,提高對錶面異常的調查效率,
並主動保護您的數據

減少手動決策和整體警報量


數據發現和分類 
跨所有渠道(包括雲、網絡和端點)發現數據,並利用分類解決方案來安全處理關鍵數據和 IP。

識別和保護企業環境中的敏感數據,例如文件服務器、
SharePoint、Exchange 和數據庫中的檢測

與 Boldon James™、Microsoft® Azure 信息保護和
Titus™ 等分類解決方案無縫集成


最大限度地提高安全分析師的效率並減少警報疲勞
動態數據保護將組織從以事件為中心轉變為以風險為中心的數據保護方法

通過在用戶級別進行策略調整的編排,領先於滲漏事件
提高調查效率並增加團隊能力 







 
 

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