Data Privacy and Governance

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POPIA places clear responsibilities on organisations that process personal information. We help you understand those obligations, identify gaps and put in place the governance and controls needed to manage personal information responsibly.

Engagements assess privacy governance, processing activities, data subject rights, information security safeguards, third party processing, retention, cross border transfers and incident readiness.

Outcome: A practical view of your current privacy posture, the risks that need attention and a prioritised roadmap for improving compliance.

Microsoft Purview offers a broad set of capabilities for discovering, classifying, governing and protecting data across Microsoft 365, Azure, Microsoft Fabric and supported data sources.

We design and implements Purview around your own governance and protection requirements. This can include data discovery and classification, sensitivity labels, information protection, Data Loss Prevention, retention, insider risk and data governance. Business, security and compliance requirements are translated into practical controls.

Outcome: Greater visibility of sensitive information and controls that are applied consistently, in line with your business and compliance requirements.

AWS offers a range of services that can be combined to support data discovery, classification, protection, access control, monitoring and compliance.

We assess and implement an appropriate data privacy and compliance architecture using services such as Amazon Macie, AWS Lake Formation, AWS Glue, AWS DataZone, IAM, KMS and CloudTrail. The focus is on how these capabilities work together to protect sensitive data, enforce appropriate access and provide the governance and evidence that privacy and compliance objectives require.

Outcome: Sensitive data that is identified, protected and access controlled, with the evidence to demonstrate it.

GCP provides capabilities for discovering, classifying, protecting and governing sensitive information across cloud data environments.

We help establish practical privacy and compliance controls using capabilities such as Sensitive Data Protection, Knowledge Catalog, BigQuery, Cloud IAM, Cloud KMS and Cloud Audit Logs. The aim is to show where sensitive information resides, how it is used and who can access it, while applying controls that support privacy, security and regulatory requirements.

Outcome: A clear picture of where your sensitive data sits and who can reach it, backed by controls and audit evidence that support your regulatory position.