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What is Proofpoint Enterprise Archive?

As the volume of data expands at an unprecedented rate, the associated challenges related to legal, compliance, and security are evolving as well. Consequently, adopting a modern and secure approach is crucial for addressing your data archiving concerns. The Proofpoint Enterprise Archive provides a cloud-driven solution aimed at simplifying your legal discovery workflows, ensuring adherence to regulations, and improving user access to data. This service creates a secure and easily navigable central repository for diverse content types, thus removing the complexities linked to internal email archive management. You can fulfill your e-discovery obligations effectively, affordably, and with legal protection. Our automated data archiving solution supports the collection, preservation, discovery, and management of information disposition, adapting seamlessly to the broadest range of electronically stored information (ESI) sources available, including emails, collaboration tools, social media, and SMS messages. With our advanced e-discovery functionalities, you can expedite early case assessments and empower your legal team to make quicker, well-informed decisions. Furthermore, this holistic strategy not only protects your data but also boosts operational efficiency in an increasingly intricate legal environment, positioning your organization for success in the long term.

What is IBM StoredIQ Suite?

The IBM StoredIQ® Suite effectively tackles a range of issues involving data discovery, records management, compliance, storage efficiency, and data migration. It provides an in-depth evaluation of unstructured data directly at its source, enabling organizations to gain the essential insights needed for informed business decisions. For those in the legal field, IBM StoredIQ for Legal simplifies the electronic discovery (eDiscovery) process through a methodical framework. Moreover, with IBM StoredIQ Policy included in the suite, organizations can automate their data management policies seamlessly. This approach to in-place data management empowers businesses to recognize and handle unstructured data without the necessity of transferring it to distinct repositories or applications. The suite is equipped with advanced search functionalities that significantly improve the analysis of large volumes of unstructured content. As a result, organizations can attain a more lucid and detailed comprehension of their extensive corporate data landscape. By leveraging these tools, companies are significantly better positioned to navigate the intricate challenges of their data environment with greater confidence and efficiency. This comprehensive solution not only enhances operational agility but also supports strategic decision-making processes.

Media

Media

Integrations Supported

Aid4Mail
Kriptos

Integrations Supported

Aid4Mail
Kriptos

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Proofpoint

Date Founded

2002

Company Location

United States

Company Website

www.proofpoint.com/us/resources/data-sheets/archive

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/storediq-suite

Categories and Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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