What We Detect Daily
Fake Profile Networks
- 10-50 connected impersonators per creator
- Cross-platform profile cloning
- Relationship mapping between fakes
Synthetic Media
- AI voice clones & face swaps
- 50+ platform distribution
- Comment Section Manipulation
Monetization Threats
- Stolen affiliate links
- Fake merch stores
- Donation page hijacks
Threats Don't Look Like Threats Anymore
Impersonators steal your revenue daily.
Fake profiles hijack your audience. Deepfakes clone your content across TikTok, Reddit, IG, YouTube.
Your brand suffers while you sleep.
Emerging AI Threats
When Any Face Can Be Reused
The interface in this screenshot is not a research toy. It is a real, consumer‑grade deepfake tool that lets anyone drop a face, a voice, and a logo into convincing video narratives in minutes
- Cross-references video fingerprints against known deepfake generators
- Tracks upload timing clusters indicating coordinated campaigns
- Detects unnatural viewer demographics for "organic" viral clips
- Correlates deepfake appearances with revenue-impacting events
Real-World Impact - What Happens When They Succeed?
Revenue Lost to Synthetic Attacks
One undetected deepfake campaign averages $47K in direct losses for mid-sized brands through disinformation campaigns, narrative manipulation, and trust erosion.
900%
Deepfake growth (2023-2025)
16 Billion
In Voice cloning losses projected (2026)
51%
Phishing sites impersonating brands
7.7%
Average revenue lost to fraud globally
Live Threat Demo
This Video Isn't Real
AI-generated video morphing and impersonating in seconds. This is what creators, journalists, and businesses face—our OSINT catches it before damage spreads.
Sample Intelligence Report
Explore a preview of a full intelligence report. See how we organize data, highlight risks, and deliver actionable insights.
OSINT Scans
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"The greatest danger is not that we will face another attack, but that we will misunderstand the nature of the next one.
— Richard Clarke, former U.S. counterterrorism chief