Automatically discover and catalog all native and non-native data systems in multicloud environments.
Protect Data Systems
Detect and prioritize remediation of data security issues.
Establish Sensitive Data Intelligence
Establish sensitive data intelligence at petabyte scale with data in motion and at rest.
Govern Access to Sensitive Data
Visibility into who can see what sensitive data and over-privileges on sensitive data.
Manage Flow of Sensitive Data
Prevent sprawl of sensitive data internally & externally in real-time, via policy based masking, anonymization.
Analyze Impact of Data Breaches & Respond
Analyze impact of data breach, before or after an incident.
Automate Individual Data Requests
Leverage People Data Graphs to automate fulfillment of individual privacy rights.
Automate Data Privacy Obligations
Automate key privacy obligations such as privacy by design, PIAs/DPIAs, data maps and consent preferences.
Manage Data Risk
Create a risk-centric view of all sensitive data, and monitor global data risk.
Manage Data Consent
Simplify management of first party and third party consent to align with global regulations.
Analyze Data Lineage
Provide insight into your data’s origin, changes as well as dependencies.
Catalog Enterprise Data
Automatically collect and enrich metadata across all data systems to provide an accurate view of your data.
Build Custom Workflows
Create custom playbooks & workflows to orchestrate various functions needed for automation of UDC.
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Traditionally organizations have been forced to use a variety of disconnected tools to manage security, privacy, governance and compliance for sensitive data, which leads to inconsistent results and added cost and complexity,” said Ryan O’Leary, Research Director at IDC. “A unified data controls framework enables common data intelligence, on top of which each discipline can enable their controls and workflows, so companies can meet their obligations more efficiently.