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Data security platforms (DSPs) combine data discovery, policy definition and policy enforcement across data silos. Policy enforcement capabilities include format-preserving encryption, tokenization and dynamic data masking. These capabilities can be delivered through connectors, agents, proxies and APIs. Business requirements to leverage data and share data, for example for AI/ML use cases, require data security controls and highly-granular data access which is provisioned fast and humanly understandable. Tight-fitting data access and security controls allow you to reveal and share (leverage) more of your data. However, organizations face sufficient complexity when it comes to provisioning and rightsizing entitlements and data security controls. This extends to data privacy as well as analytics governance and ethics. The DSP delivers most of the required components critical to enabling good data governance and optimized data security controls while preventing the exponential increase of data access and policy rules.

• Sentra
  5.0

  1 Review

Data security posture management (DSPM) provides visibility as to where sensitive data is, who has access to that data, how it has been used, and what the security posture of the data stored or application is. It does that by assessing the current state of data security, identifying and classifying potential risks and vulnerabilities, implementing security controls to mitigate these risks, and regularly monitoring and updating the security posture to ensure it remains effective. As a result, it enables businesses in maintaining the confidentiality, integrity, and availability of sensitive data. The typical users of DSPM include Information Technology (IT) departments, security teams, compliance teams, and executive leadership.

• Sentra
  4.9

  49 Reviews