Data Security
Protect sensitive data across storage, transit, and access — with visibility, controls, and audit-ready dashboards.
Data security is about preventing exposure and proving control. We focus on practical safeguards and making access patterns easy to understand.
- Data classification and handling rules — what’s sensitive, where it can go
- Encryption expectations for data at rest and in transit
- Access control patterns — least privilege and role-based policy
- Auditability: who accessed what, when, and why
- Retention guidance and secure deletion workflows
Identify public, internal, confidential, and restricted data.
Apply access, encryption, retention, and handling policies.
Watch access events, unusual spikes, and sensitive workflows.
Keep audit records for access, policy changes, and exceptions.
Example D3 view combining sensitivity classification and access activity.
Dashboards summarize what changed and who accessed sensitive data. Admin controls keep access intentional through invites and roles.
Project dashboards help identify risky access and manage data workflows. Admins can restrict access of services and workspaces so control stays deliberate. Dependent on specific project configuration and services purchased.
Map sensitive fields, storage locations, owners, and connected workflows.
Use roles, invites, and least-privilege rules to reduce unnecessary access.
Define where data can move, how long it stays, and which exceptions are allowed.
Surface risky access, policy drift, stale permissions, and unusual activity.
Classification, encryption, retention, and ownership.
Access controls, policy checks, exceptions, and logs.
Deletion workflows, review history, and evidence.
Data security plugs into the same dashboard model: classification, access, exceptions, policy history, and admin-controlled accountability.