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Tracking extremist networks, criminal coordination, and corporate brand threats across Facebook, Telegram, Instagram, YouTube, and Reddit.

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5
Platforms monitored simultaneously
Real‑time
Alert delivery on flagged content
92%
Entity extraction accuracy
12hr
Average early warning lead time
Case Studies

Intelligence from open social platforms

CASE · 04 · 001

Counter-Extremism: Radicalization Network Mapped Across 14 Telegram Channels

National Security Agency
14 Telegram channels / 6,800 members
3 weeks to network map

A national security agency had identified 3 public-facing Telegram channels distributing extremist content in regional languages. Intelligence indicated the visible channels were recruitment fronts for a deeper network of private channels coordinating real-world activity. Manual analyst effort could not keep up with the volume of content across all linked groups — over 2,000 messages per day.

Automated monitoring of all 3 seed channels 24/7
Forward-chain analysis revealing 11 connected private channels
Member overlap analysis mapping the core organizer network
AI content classification: recruitment, incitement, logistics, finance
Cross-platform correlation — same usernames identified on Facebook and Reddit
Real-time alert on high-risk incitement content with automatic translation
14
Telegram channels identified (3 known → 14 total)
37
Core network members identified with real-world linkage
3wk
Full network map delivered

The forward-chain analysis revealed 11 previously unknown private channels with 6,800+ total members. 37 core network members were identified with real-world linkage to CyberTrace OSINT data. Intelligence package handed to prosecution team — 12 individuals arrested and 3 channels taken down through platform cooperation.

We knew about 3 channels. VedOps social media analysis showed us 14, and gave us a complete map of who ran them and who the most active members were. This changed our entire investigation strategy.
— Senior Analyst, National Security Agency (name withheld)
CASE · 04 · 002

Brand Crisis Intelligence: Coordinated Misinformation Campaign Detected 12 Hours Early

Indian FMCG Brand
All platforms monitored
Crisis averted pre-viral

A major Indian FMCG brand had previously suffered significant stock price drops and consumer backlash from two viral misinformation campaigns in 18 months — both identified only after content had already reached 2 million views. The brand's social media team wanted early warning before content went viral, not crisis management after the fact.

24/7 brand keyword monitoring across all 5 platforms
Coordinated inauthentic behaviour detection (bot network signatures)
Sentiment velocity alert — rapid negative sentiment spike detection
Source origin analysis for content seeding patterns
Influencer amplification chain tracking
Executive alert system with 15-minute real-time escalation
12hr
Early warning before content went viral
3
Coordinated campaigns detected and countered
0
Viral crises in 12 months post-deployment

Three coordinated campaigns were detected in the 12 months following deployment — all 12+ hours before content reached viral velocity. The brand's PR team was able to counter narratives proactively before significant audience reach. No viral brand crisis occurred in 12 months — compared to 2 in the preceding 18 months.

CASE · 04 · 003

Organised Crime: Facebook Groups Used for Vehicle Theft Coordination Mapped

State Police Cybercrime Unit
4 Facebook groups / 340 members
8 states involved in network

A state police cybercrime unit suspected that an organised vehicle theft ring operating across 8 states was coordinating through social media — sharing vehicle sighting information, police movement tips, and false vehicle documentation. Identifying which platforms and accounts were involved required simultaneous monitoring capabilities not available to the unit's existing tools.

Seed account analysis revealing 4 Facebook coordination groups
Member roster extraction and identity correlation across platforms
Keyword monitoring for vehicle registration numbers and police callsigns
Location tag extraction from photos shared in groups
Network graph of 340 members revealing 18-person core ring
Evidence package with screenshots, metadata, and timestamps
18
Core ring members identified
340
Total network members mapped
11
Arrests in first action based on intelligence
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