Dig vs Flow Security comparison

Dig Security is a cloud data security platform that provides data discovery, classification, and governance for all of your cloud data. It is the only vendor to combine critical capabilities for data security posture management (DSPM), cloud DLP, and data detection and response (DDR) in a single platform. Dig Security is used by a wide range of organizations, including financial services, healthcare, and technology. It has been praised for its ease of use, scalability, and comprehensiveness.

Some of the key features of Dig Security include:

• Data discovery: Dig Security can discover all of your cloud data, including data that is stored in databases, files, and applications.
• Data classification: Dig Security can classify your data according to its sensitivity and importance.
• Data governance: Dig Security can help you to implement policies and procedures to protect your data.
• Data security posture management (DSPM): Dig Security can help you to identify and remediate security risks in your cloud environment.
• Cloud DLP: Dig Security can help you to protect your data from unauthorized access, disclosure, and modification.
• Data detection and response (DDR): Dig Security can help you to detect and respond to data breaches in real time.

Overall, Dig Security is a well-respected and highly-rated cloud data security platform.

Flow is a data security platform that combines Data Security Posture Management (DSPM) together with real-time detection and response to data security violations. Flow is not just your cloud security tool with a data scanning utility. It is the only platform that analyzes both data at rest and data in motion. By also following and analyzing all data flows in runtime, the platform enables security teams to regain control over all their data, including shadow data stores and applications across all cloud, on-prem, and SaaS environments.

Flow’s deep analysis of the organization’s data journey from origin to destination allows security teams to automatically catalog all their sensitive data (e.g. PII, PHI, PCI); visualize data flows; detect and remediate data risks; and effectively respond in real-time to data violations by providing the full context: who, what, when, where and why.