Sensitive Data Handling
Protect sensitive data.Preserve its value.
Discover, classify and protect sensitive information across enterprise data environments while keeping protected data useful for development, analytics, AI and controlled sharing.
Protect sensitive data without losing usability.
Protection follows the data from discovery and classification through policy-driven controls, monitoring and audit.
Classification adds context — what the data represents, how it relates to other fields, where it came from and which protection policy should apply.
Apply protection appropriate to the use case, including masking, substitution, tokenization or anonymization, while preserving necessary data utility.
Maintain visibility after protection is applied by tracking sensitive data, transformations and the ongoing effectiveness of controls.
PII and PHI are data classifications, and regulatory frameworks such as HIPAA and state-level privacy laws inform the controls we help design. The exact regulatory scope and implementation controls are validated individually for each client’s environment and compliance obligations, rather than offered as a one-size-fits-all certification.
Protectwhat matters
Start by identifying where sensitive information lives, how it moves and where protection can be embedded without compromising the value of the data.