Insider Threat
Cross-references behavioural signals across data movement, access patterns, device usage, and evasion indicators. Per-user daily risk scores with evidence trails.
19 collection modules feed raw telemetry into 10 purpose-built intelligence engines that fuse, correlate, and score behavioural signals to surface early risk indicators before they become incidents.
Every day, your endpoints generate thousands of activity events. Individually, these events are noise. Combined and analysed by our intelligence engines, they become a prioritised briefing of who needs attention and why.
19 collection modules capture raw activity data. Our proprietary intelligence engines then fuse and analyse that data to produce actionable insights across insider threat, retention risk, burnout, productivity, data loss prevention, and more.
Each engine produces per-user daily scores with risk bands and detailed evidence trails. Every dashboard includes a methodology modal explaining exactly how scores are calculated. Complete transparency.
Each engine combines data from multiple monitoring modules through a dedicated analytical model. Click any engine to learn more.
Cross-references behavioural signals across data movement, access patterns, device usage, and evasion indicators. Per-user daily risk scores with evidence trails.
Monitors digital behaviour signals that correlate with resignation preparation, combined with AI prompt sentiment analysis. Early warning for flight risk.
Monitors overwork signals including excessive overtime, after-hours activity, weekend work, declining engagement, and meeting overload. Baseline comparison against each user’s own patterns.
Combines application tracking, browsing, and input engagement to compute per-user productivity scores. Applications classified as productive, unproductive, or neutral.
Applies policy-based rules across USB, email, clipboard, printing, cloud services, and AI tools to detect potential data loss events with severity classification.
Daily activity timelines showing active, idle, and offline periods. After-hours detection, overtime tracking, and work schedule visibility without requiring clock-in systems.
Detects file sharing activity across cloud storage services, categorises by destination, and tracks upload volumes per user and service.
Analyses chat and instant messaging activity across platforms. Usage patterns, service distribution, and activity timeline by user.
Tracks video call and meeting application usage with duration, frequency, and participant platform analysis. Feeds into burnout risk scoring.
Monitors social media platform usage including time spent, service distribution, and usage patterns. Helps enforce acceptable use policies.
From endpoint to actionable intelligence in real-time.
Every insight dashboard includes a methodology modal explaining exactly how scores are calculated. No black boxes.
Every risk score includes the specific events that contributed to it. Drill down from score to individual events.
Every dashboard exports to PDF, DOCX, CSV, and JSON. Schedule automated delivery daily, weekly, or monthly.
Book a demo to see how ActivityPulse transforms raw activity data into actionable workforce intelligence.
Workforce Intelligence.
The Pulse of Your Organisation.
About Us
A product of Network 1 Media Group Pty Ltd
ABN 82 633 114 753
Ph: 02 6188 9610