As data discovery becomes increasingly ingrained in the flow of business, it helps establish a framework for privacy compliance and cost containment, but more importantly it provides a wider opportunity to build insight that can drive data ethics and data trust – two key components for harnessing data for competitive advantage and top-level business growth.
With the release of Voltage File Analysis Suite 3.8 we continue to expand our privacy-enhancing technologies to mesh with customer data eco-systems and improve privacy postures while doubling down on SaaS to offset talent shortages and reduce complexity.
Many organizations have metadata tagging in place and prefer a common nomenclature for data that is in use (e.g., DLP tags) or data analyzed during discovery. The Voltage FAS REST API has been expanded to support external metadata and third party tagging to further augment analysis. In Voltage FAS 3.8 we have also added native support for Microsoft Purview Information Protection. Customers can now leverage their E5 licenses for Office 365 to tag new unmanaged content in Voltage FAS.
Protecting customer data is not a luxury any business can ignore – even with market downturns, or talent and resource constraints. Voltage FAS can assist customers in this environment in many ways. Data discovery can be delivered as a service across the public or private cloud, and with the support of our MSP implementation partners around the world, we are helping customers improve risk mitigation while maximizing their compliance spend and budgets.
Voltage FAS 3.8 improves privacy compliance in the public cloud with ephemeral analysis and tagging of sensitive data – helping organizations support data sovereignty, data residency, and data localization obligations by safeguarding personally identifiable information in the cloud.
Request your free live demo and view a guided introduction to Voltage’s Data Discovery solution.
- Data Discovery: Identify and discover sensitive data with ease. Deliver increased visibility of unstructured data through cloud-based, AI-powered analytics.
- Data Access: Discover how accessible your data is and place policies to manage and protect it from unauthorized access.
- Data Management: Manage enterprise data in use, and throughout its lifecycle, to apply policies for data protection, minimization, governance, tagging, classification, and remediation.
- Structured Data Manager: Manage structured data over its entire lifecycle. Get data discovery, insight, data protection, management, and data privacy while reducing TCO of application infrastructure.
Join our File Analysis Suite Community. Have technical questions about File Analysis Suite? Visit the File Analysis Suite discussion Forum. Keep up with the latest Tips & Info about File Analysis Suite. We’d love to hear your thoughts on this blog. Log in or register to comment below.