Reduce the risk of security breaches by understanding and protecting what matters most: your critical data. 

Establishing metadata-driven intelligence and automation to operationalize data protection management helps you discover, classify, analyze, protect, and monitor sensitive data across your organization. Whether your sensitive data is structured, semi-structured or unstructured data in the cloud, on premises, in big data stores, or in relational and mainframe systems, a clear understanding of your data environment and its risks is an essential component to any cybersecurity strategy.

Stream this webinar now and learn how to:

• Protect and monitor sensitive data to fuel data-driven digital transformation and support for security and compliance efforts
• Centralize visibility across data platforms and types, providing the support needed for today’s complex environments
• Continuously conduct risk analysis of sensitive data to prioritize resources and investments across functional, geographic, and line of business views
• Leverage AI-driven detection to uncover high-risk, anomalous data usage
• Achieve a single view of data subjects’ information to provide identity capabilities (rights and consents requests) required for various compliance regulations
• Attain configurable, automated remediation of security risks to sensitive data