Why It Matters

Illicit activity and fraud are migrating from the deep and dark web into niche ecosystems, like Telegram, encrypted apps and anonymous forums. Alto captures this migration in real-time through proprietary collection at scale, surfacing early signals before threats escalate.

What It Does
Monitors Grey Spaces
Telegram, chan boards, private forums, alternative platforms, and encrypted apps.
Surfaces Early Signals
Detect weak signals of fraud, malicious coordination, bot mobilization, and narrative seeding.
Classifies Threat Types
From impersonation and fraud to synthetic influence and hostile mobilization, using structured models like DISARM.
Integrates with Your Stack
Stream real-time or batch data into your threat intelligence platform, alerting systems, or dashboards in STIX format via TAXII.
Supports Analyst Validation
Every detection is backed by context-rich metadata and optional analyst validation layers.
YOUR TEAM'S INFORMATION ADVANTAGE
01
Public Affairs & Crisis Teams
  • Detect early signals of false narratives targeting institutions or executives before media pickup.
  • Monitor amplification of synthetic or misleading content tied to brand, product, or policy.
02
Security & Intelligence Teams
  • Track emerging risk actors or threat communities across encrypted apps and niche platforms.
  • Identify coordination patterns ahead of mobilization events or digital sabotage.
03
Regulatory & Compliance Units
  • Monitor illicit product promotion, platform abuse, or high-risk content linked to regulatory exposure.
  • Generate defensible intelligence to support investigations or reporting.
Why Alto’s Fringe Ecosystems API Stands Apart
Billions of low-visibility signals, structured for scale
Alto ingests and enriches billions of signals annually from fringe and closed ecosystems at scale.
Niche-focused architecture
Purpose-built to capture metadata-rich content from hard-to-index sources like Telegram, decentralized platforms, and alt-media environments.
Precision on malign actors
Tracks and classifies the most persistent and high-risk actors, using frameworks like DISARM to surface early indicators of synthetic, illicit, or harmful activity.
Multilingual, context-aware
Supports 50+ languages with layered metadata and contextual framing at the source and actor levels.
Niche ecosystem data from low visibility sources. API-ready.