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Index Engines Expand Support for GDPR

With features geared to help find, manage and secure personal data

Information management software company Index Engines, Inc. announced expanded support for the GDPR with features geared to help find, manage and secure personal data.

This release includes expansion of search options to include conceptual search which utilizes machine learning to develop queries that can be applied leveraging the firm’s high speed, petabyte class search engine. Concept search will enable users to find personal data that cannot typically be identified through pattern or regular expression searches.

Additionally, features were added to search and report on Access Control Lists (ACLs) and file access logs to manage and protect sensitive data from internal threats.

Storage platforms are not equipped with the ability to search and report on the data that needs to be governed, prohibiting business and compliance teams to know what exists, why it exits, and if it has any business value,” Tim Williams, CEO, Index Engines, said. “The GDPR requires this level of knowledge and we can provide it.

Functionality overview:

  • Conceptual search: Adding to the existing options of keyword, Boolean, and pattern search, concept search adds the ability to find personal data via machine learning algorithms. This will empower companies to find personal data even if they do not know what to look for.

  • Data security: Added support for the reporting and search on file ACLs and Activity Logs enables security audits and proactive management of sensitive data to protect it from rogue employees.

The company supports the GDPR through scalable information management solutions that provide extensive data classification, detailed search, defensible disposition and preservation of unstructured user data across all classes of data, including backup.

Policies can then be defined within the software to support specific personal data based on these queries. Once these policies are defined and stored, they can be run on online or offline data sources to support the GDPR requirement to access, rectify, erase, restrict or migrate personal information.

If this information then needs to be purged, migrated or archived, Index Engines provides defensible audit trails that can prove the disposition was carried out either by request or as part of a defensible deletion strategy,” Williams said.

Other company’s GDPR features include:

  • Petabyte class indexing across global data environments

  • Flexible reporting and classification for comprehensive analysis and knowledge

  • Insight into metadata, content, ACLs and access logs, and more

  • Integrated disposition and archiving to easily manage sensitive content

  • Automation and monitoring with full audit trails to ensure compliance

  • Pattern, keyword, Boolean and conceptual searches

  • Support for all classes of data from primary storage to legacy backup data