Processing inventory
Document purposes, processing stages, access actors and external sharing to establish the scope.
Data security risk assessment
Assess technical and organizational weaknesses across collection, storage, use, transfer, sharing and disposal, with prioritized remediation and verification.
Find risks along real data flows
Use real data flows and verifiable evidence to identify issues with business, data and technical teams, assigning owners and verification criteria.
Discuss this approachProcessing activities
Identify purposes and data flows
Control review
Technical settings and procedures
Risk analysis
Impact, exposure and priorities
Remediation check
Owners, actions and evidence
Key risks
- Permissions and shared interfaces drift from business needs.
- Isolated checks miss risks that span systems.
- Findings lack accountable owners and verification evidence.
Service scope
Technical control review
Review authorization, transfer protection, interfaces, logs and outbound controls.
Governance review
Examine gaps between documented ownership, approvals, retention and incident procedures and their execution.
Remediation & validation
Prioritize findings by impact and feasibility, with owners, verification criteria and evidence.
Delivery process
Establish boundaries
Agree assessment targets, testing authorization and evidence collection.
Perform assessment
Record findings through interviews, configuration reviews and authorized tests.
Define improvements
Define risk distribution, remediation order and business dependencies.
Verify progress
Verify agreed remediation and document unresolved items and follow-up actions.
Deliverables
Scope, schedule and acceptance criteria are agreed following assessment.
Discuss this approachDeliverables to scope together
- Assessment scope and data-flow records
- Risk register and prioritized remediation recommendations
- Verification records and follow-up recommendations
Relevant environments
- System launches or business changes
- Data sharing and interface access
- Periodic risk reviews
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 access and audit
Connect account privileges, access activity and approval records to support least privilege, anomaly detection and traceability.
Data governance
Align business ownership, data policies and technical controls, connecting discovery, assessment, loss prevention, masking and auditing into continuous improvement.