Data Governance & Privacy
Data classification, retention, encryption strategy, and privacy engineering that make data minimization the default, not an afterthought.
Institutions hold the most sensitive data their customers and citizens have. We help classify it, decide what may be collected at all, encrypt it correctly, and delete it on schedule, so a breach exposes as little as the law and the mission allow.
Data minimization is treated as law: collect only what is required, hash or tokenize lookups, field-level-encrypt the most sensitive fields, and keep short-lived data short-lived and auto-purged. Every read, write, and admin action is written to an immutable audit log.
What this practice covers
Data classification
A clear map of every field to a sensitivity tier, with encryption and retention attached to each tier.
Encryption strategy
Envelope and field-level encryption with managed keys, so the database alone never yields plaintext.
Retention & deletion
Enforceable retention windows with hot, cold, and immutable-audit tiers, and automatic purge of short-lived data.
Privacy impact (DPIA)
Data-flow diagrams and impact assessments that hold up to independent and regulatory review.
Related insights
Data minimization as law, not policy
The safest data is the data you never collected. We treat minimization as a hard constraint on the schema, not a value statement in a policy document.
Relocatable by design: avoiding cloud lock-in in public infrastructure
A government system can be hosted on a commercial cloud today and still be free to move tomorrow. The trick is to decide that on day one, in code.
Planning a new system, or need an independent assessment?
Whether you are modernizing a legacy platform or testing the one you already run, we will tell you plainly what it takes and where the risk is.