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Social Intelligence
Social Media Intelligence + Open-Source Intelligence
For Metro City Law & Order + Cyber Crime Divisions
280M+
Posts Monitored/Month
6h → 3min
Investigation Time
92%
Threat Detection Accuracy
85%
Reduced Manual Monitoring
Executive Summary
Project Scope
- Citywide monitoring of 280M+ public digital posts per month
- Integration of 60+ social platforms, forums, and open-source feeds
- Deployment of AI-driven Social Intelligence Engine across Law & Order and Cyber Crime units
Key Outcomes
- Criminal-related investigations reduced from 6+ hours to 3 minutes
- 92% accuracy in identifying harmful content, violence signals, or anti-social mobilization
- 85% reduction in manual digital monitoring
- Unified SOC (Social Ops Center) built for both divisions
Impact at a Glance
98% Faster
Threat Detection Time
250+
Cyber Fraud Attempts Pre-empted (Pilot Quarter)
400+
High-Priority Alerts Auto-escalated Monthly
The Challenge
Metro City faced a rising volume of unstructured, multilingual digital content that threatened public safety and security.
Operational Issues
- Manual tracking of millions of posts was impossible
- High dependency on reactive reports
- No unified dashboard across Law & Order and Cyber Crime units
- Difficulty distinguishing genuine threats from noise
Technical Bottlenecks
- Social platforms with inconsistent APIs
- Lack of automated multilingual analysis
- No cross-platform entity linking or threat grouping
Impact on Policing
- Delayed detection of mobilization events
- Cyberbullying, fraud, and extremist content often flagged too late
- No intelligence fusion between online and offline events
AI Implementation
Social & OSINT Intelligence Engine
1
Phase 1: Deployment
- Connected 60+ social platforms, regional forums, Telegram channels
- Ingested 3 years of historical open-source data
- Created custom lexicons for city-specific crime patterns
2
Phase 2: Fusion Intelligence
- Real-time entity graph linking
- Cross-platform threat clustering
- Officer alerts integrated into existing city control room
Technical Capabilities
NLP-driven entity extraction
Deepfake detection
Anomaly detection for viral misinformation
Real-time event clustering
Geolocation analysis
Automated officer briefings
Multilingual support (12 languages)
Bot network detection (>96% precision)
Infrastructure
Data Ingestion Rate60K posts/min
System Uptime99.8%
IntegrationCyber Command Network
Performance Impact
Threat Detection Time
Before6 hours
After3 minutes
98% faster
Operational Efficiency
- 85% reduction in human monitoring workload
- 400+ high-priority alerts auto-escalated monthly
- 250+ cyber fraud attempts pre-empted in pilot quarter
Quality of Intelligence
- 92% detection accuracy for harmful content
- Multilingual sentiment and hate speech detection (12 languages)
- Cross-platform bot network detection (>96% precision)
Stakeholder Feedback
"
The intelligence engine saved us thousands of hours. We now detect threats before they spread.
JC
Joint Commissioner
Law & Order Division
"
OSINT + Social has become our backbone for rapid cyber response.
DC
Deputy Commissioner
Cyber Crime Division
Interested in Similar Solutions?
Let's discuss how we can transform your intelligence operations.