For end-to-end processing and analysis of sensitive data, Securiti is a good example of a comprehensive solution. It provides a unified platform with granular controls for data discovery, security and governance across hybrid multicloud environments. It includes features like AI security and governance, data access governance and compliance management, and is integrated with over 1,000 data systems, making it a good option for organizations that need to comply with global regulations.
Another good option is Varonis, an all-in-one SaaS platform for automated data security. It's strong for data discovery and classification, threat detection and policy automation, and spans multiple cloud and on-premises environments. The platform includes features like DSPM, AI security, cloud DLP and compliance management, and is a good fit for organizations that need real-time visibility and proactive threat detection across multiple applications and cloud platforms.
BigID offers a next-gen approach to data visibility and control, with a focus on end-to-end data management. It includes features like data discovery, AI-powered security tools and compliance alignment, making it a good fit for managing petabyte-scale data in cloud, on-prem and hybrid environments. BigID's machine learning technology offers accurate classification and deep insights, helping to improve a data security posture and meet regulatory needs.
Last, Rubrik offers end-to-end data security for enterprise, cloud and SaaS applications. With automated data security for on-premises and cloud data, advanced threat detection and large-scale recovery, Rubrik offers a good option for protecting sensitive data. Its integration with a broad range of applications and data sources, including VMWare and Oracle, makes it a good option for securing and recovering data quickly.