Secure Content Management

安全内容管理

Secure Content Management Improves Information Governance

By integrating file analysis, structured data management and governance-based enterprise content management, the HPE Secure Content Management (SCM) Suite balances collaboration and productivity needs with information security, privacy and compliance across enterprise systems with reduced risk, complexity and cost. The SCM Suite consists of HPE ControlPoint, HPE Structured Data Manager and HPE Content Manager. Content analysis identifies sensitive and high-risk data which is categorized and has policies applied to govern access and retention. Powerful search makes it easier to find the permissible data you are after. Unstructured content can be managed in-place or moved to a secure repository while structured data extracted from database applications has security and access controls applied prior to intelligent archiving. Real time access and reporting are supported without the need for legacy applications.

Best Practices for Data Retention and Policy Creation

Data retention is critical to secure content management and content compliance. In this foundational Gartner research, learn how to devise a policy for prudent data retention in the enterprise.

HPE Protect 大会上的专家见解

聆听专家讲解 HPE 安全内容管理组合如何帮助组织保护其整个生命周期内最敏感的旧数据和实时数据,以降低风险和成本。

HPE Secure Content Management

应用程序淘汰和优化

简化旧版应用程序的淘汰和结构化数据的智能存档,以降低与基础设施老化、云迁移项目或并购活动相关的成本与风险。

数据标识和隐私(PII、PCI、PHI)

识别系统存储库中的敏感和宝贵信息,以更好地满足 GDPR 等隐私要求,提供更加深刻的商业见解

全球策略管理

根据最新的法律法规要求,简化跨多个管辖区的商业内容(规模化)的保存和保留。 大型团队无需法律专业人员也可研究保留法,且另一个团队无需档案专业人员也可将政策手动应用到内容。

SAP 存档

淘汰旧版 SAP 应用程序和数据,降低运维成本,节约资源。 实现对 SAP 数据的统一管理和存档,从而改进合规性、信息共享和控制。

SharePoint 管理

平衡业务(针对所有内容)的长期管理需求与员工的日常协作需求。 以透明方式管理 SharePoint 内容,以提高信息安全性与合规性,同时不对用户体验产生负面影响。 

HPE 安全内容管理套件

Enterprise Content Management

Simplify the capture and management of paper and electronic records from all enterprise systems within a single solution. Ensure compliance with regulatory requirements such as Privacy, Freedom of Information, Dodd Frank and HIPPA with policy based security, access and retention. Learn more about HPE Content Manager.

File Analysis

Identify, connect and control information across enterprise systems; clean up legacy data, automate records declaration, and migrate enterprise information to the Cloud with HPE ControlPoint.

Structured Data Archiving

Automate application lifecycle management and structured data optimization by relocating inactive data from expensive production systems and legacy databases, while preserving data integrity and access. Structured Data Manager helps retire outdated applications through an automated process of extracting, validating, and deleting data.

Policy Based Governance Products & Services

Enterprise Cntent Management

Content Manager

Governance-based ECM system for government agencies, regulated industries, and global organizations.

File Analysis

ControlPoint

Access, understand, classify, and migrate enterprise information based on policy.

Application Archiving

Structured Data Manager

Application archiving and retirement while retaining data access for compliance, eDiscovery and operations.

Reduce Risk and Protect Privacy Across Enterprise Systems

The HPE Secure Content Management suite allows you to get control, enhance compliance, improve productivity and lower cost for structured and unstructured content in both active and inactive systems. Learn more in this brochure.

(PDF 216 KB)

Resources

Infographic

 

Capstone - Managing the vital records of the nation electronically

 

(PDF 409 KB)

Analyst report

 

Gartner: GDPR Mandates Require Storage Changes

Case study

 

HPE IT Increases and Stabilizes Performance With Intelligent Archiving

Infographic

 

Buyers Guide for Electronic Records and Content Management

 

(PDF 412 KB)

White paper

 

You don't know what you don't know. An overview and solution discussion.

 

(PDF 465 KB)

Brochure

 

Control Your Enterprise Content with HPE ControlPoint

 

(PDF 3 MB)
 

Case study

 

The International Criminal Court Boosts Its Capacity For Big Data

 

(PDF 974 KB)

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