Detect risk. Act quickly. Keep every student safe.

Keyword and keyphrase detection

Expert-developed language resources detect concerning written activity across applications on managed devices, going beyond simple word lists to understand context and phrase structure.

Typed but not submitted activity capture

Captures text a student types and then deletes before sending, surfacing draft communications that would otherwise be invisible to any monitoring approach relying only on sent messages.

Contextual visual evidence

Automatic screenshot capture at the precise moment of concern, with application context, device identity and user details, giving DSLs the full picture, not just a matched phrase.

Alert severity levels and triage workflow

Incoming alerts are assigned severity levels and appear in a structured DSL triage interface, designed around the safeguarding workflow, not adapted from generic ticketing.

Assignment and safeguarding workflow

Assign alerts to named staff members, track ownership, escalate to senior leadership and manage cases through to resolution, with full audit logging at every step.

False-positive reduction and management

Contextually-aware detection reduces noise at source. DSLs can dismiss, categorise and annotate false-positive alerts while retaining the evidential audit record.

Concern reporting

Raise a formal written concern directly from a triage event, incorporating captured evidence, contextual notes and action taken into a structured, exportable concern record.

Acceptable use policy acceptance records

Timestamped records of each student's and staff member's acknowledgement of the school acceptable use policy, stored within the platform and available for audit and inspection.

Reporting, audit and retention controls

Configurable evidence retention, exportable alert and concern reports, and a full audit log of every DSL action, supporting inspection, referral and group-level governance.

AI image analysis and image blurringVerified

AI analysis assesses captured images for concerning visual content. Where a concern is confirmed, images are blurred to protect DSL welfare while preserving the evidential record.

Agentless Microsoft Teams monitoring

Connects directly with Microsoft 365, extending safeguarding visibility into Teams without relying on endpoint activity capture.

Assisted Monitoring Services

An optional managed moderation service staffed by a specialist team, providing 24/7/365 first-line alert review and expert escalation to your DSL.

Integration with Web Filtering and the Senso platform

Safeguarding Monitoring and Web Filtering operate in the same platform, shared policy, shared user directory, correlated evidence and unified reporting across the Senso product suite.