Discovery and classification
Identify business data, storage locations and owners; define classification rules.
Data Security
Protect enterprise data through discovery, classification, risk assessment, DLP, masking and access auditing, supported by data and cloud engineering.
Clear boundaries for every data flow
Build continuous protection through classification, assessment, DLP, masking and audit, grounded in how data actually moves through the business.
Discuss this approachDiscover & classifyAuthorize & maskUsage boundariesShare & sendAccess records · Audit trail
Key risks
- Unclear locations and flows of sensitive data
- Inconsistent boundaries for sharing, egress and AI use
- Gaps in permissions and audit coverage
Service scope
Risk assessment
Assess exposure during collection, use and sharing, with remediation priorities.
DLP and egress control
Apply sensitive-data detection and egress policies across endpoints, applications and AI tools.
Masking and privacy
Design masking and limited access around data use, balancing utility and protection.
Access and audit
Define permissions, logging rules and review workflows for traceable data activity.
Governance and improvement
Connect classification, technical policies and responsibilities, then review implementation.
Delivery process
Discover
Map data assets, flows and usage.
Classify
Define sensitivity, ownership and protection requirements.
Protect
Apply access, masking, DLP and audit policies.
Validate
Validate controls with representative business scenarios.
Deliverables
Scope, schedule and acceptance criteria are agreed following assessment.
Discuss this approachDeliverables to scope together
- Data inventory and classification recommendations
- Risk assessment and protection policies
- Policy validation and governance handover
Relevant environments
- Business systems and databases
- Internal sharing and third-party collaboration
- R&D and AI-assisted data egress
Scope of services
- Big data platform build & services
- Data processing & storage support
- Cloud infrastructure tech services
- Data middle platform / governance
Explore further
Data discovery & classification
Map where data resides, who owns it and how it moves, then connect classification to access, sharing and outbound protection.
Data security risk assessment
Assess technical and organizational weaknesses across collection, storage, use, transfer, sharing and disposal, with prioritized remediation and verification.
Data Security & Cloud Services
Assessment, planning, implementation and support for data security governance and data/cloud infrastructure.