Security & Data Protection
Security designed into the platform, not bolted on after the finding.
This is data-platform security specifically — how your warehouse, pipelines and analytics layer are protected, segmented, encrypted and evidenced.
What we do
- Data security architectureSecurity design for the data platform: trust boundaries, segmentation, data classification and control placement.
- Encryption & key managementEncryption at rest and in transit, KMS key hierarchy, rotation policy, envelope encryption and field-level protection for sensitive attributes.
- Access control designRole-based and attribute-based access control, row and column-level security, least-privilege review and joiner-mover-leaver process for data access.
- Secrets managementRemoving credentials from code and configuration, centralised secrets storage, rotation and short-lived credential patterns.
- Audit logging & evidenceTamper-evident logging of data access and change, retention aligned to your obligations, and query interfaces auditors can actually use.
- Threat modelling & posture reviewStructured threat modelling of the data estate and a prioritised remediation plan, plus incident response runbooks for data exposure scenarios.
Technologies
AWS KMSAWS IAMSecrets ManagerCloudTrailVPC designLake FormationDatabase-native RLS
Who usually owns the budget
CISO, Head of Security, or a CTO responding to a customer security questionnaire.
What triggers the purchase
- An enterprise customer sent a security questionnaire you cannot pass
- Credentials are sitting in code and nobody is sure where else they are
- You cannot evidence who accessed which data, when
Is this the piece you need?
Twenty minutes on a call is usually enough to know whether this is the right starting point.