Channel mapping
Map file sharing, email and application interfaces, with integration requirements and coverage limits.
Data loss prevention
Connect sensitive-content detection, risk-based policies and audit response across endpoints, applications and sharing channels.
Outbound data controls
Identify the data and outbound channels first, then use existing tools to validate rules, design exceptions and introduce controls in stages.
Discuss this approachOutbound request
Actor, channel and recipient
Content inspection
Classification and sensitivity rules
Policy decision
Contextual controls and approvals
Audit & response
Record results and support investigation
Key risks
- Sensitive data leaves through channels with inconsistent controls.
- Blanket blocking disrupts collaboration without an exception process.
- Disconnected alerts and approvals hinder incident reconstruction.
Service scope
Sensitive-content detection
Configure detection by classification and use case, then validate it with business samples.
Policies & exceptions
Define alerts, blocking, approvals or masking where supported, with scoped and time-limited exceptions.
Response & tuning
Correlate senders, content and approvals, then track response and tune false positives and business impact.
Delivery process
Scope channels
Agree channels, data categories and integration with existing tools.
Design policies
Agree rules, exceptions and approval ownership with business teams.
Validate in stages
Validate alerts and business impact before activating agreed controls.
Operate & refine
Review alerts and approvals, refine policies and improve response procedures.
Deliverables
Scope, schedule and acceptance criteria are agreed following assessment.
Discuss this approachDeliverables to scope together
- Outbound channel and sensitive-data rule inventory
- Policy configuration, exception workflows and validation records
- Alert response procedures and tuning recommendations
Relevant environments
- Research files and collaboration
- Office sharing and outbound transfers
- Partner data exchange
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.
AI Data Leakage Prevention
Based on Xingshu’s three-tier architecture to control AI tool data egress — sensitive data stays controllable, auditable and traceable.