- A Strategic Initiative to Advance America's Telecommunications Infrastructure
USTelco AI Defender
The Intelligence Core of USTelco AI Defender
The AI Engine powers every module, every decision, and every defense
The Brain Behind the Defense
At the heart of USTelco AI Defender is an advanced, self-evolving AI engine — engineered to detect emerging fraud, learn from global patterns, and adapt to the unknown.
It’s not just about automation — it’s about intelligence that thinks ahead, reacting faster than any human analyst or static rule engine ever could.
Real-time decisions. Continuous learning. Predictive insight.
It’s not just what’s happening — it’s whether it should be happening
Real-Time Behavioral Modeling
Instead of chasing known threats, the AI Engine builds a behavioral baseline for:
- Individual subscribers and devices
- Voice and messaging flows
- Signaling paths and routing logic
- Interconnect and international carrier behavior
When something deviates — even slightly — from “normal,” AI Defender reacts.
- Zero-day fraud detection
- Micro-pattern anomaly flagging
- Context-aware scoring per flow/session/message
Reinforcement Learning + Federated Learning
AI Defender continuously improves itself using two powerful learning strategies:
Reinforcement Learning (RL)
- Learns from real-world fraud outcomes
- Adjusts detection thresholds dynamically
- Optimizes accuracy over time (true positives up, false positives down)
Federated Learning
- Learns from other Defender deployments globally
- Shares AI model improvements, not raw data — maintaining privacy
- Adapts to regional fraud trends without centralized data exchange
Stay ahead of tomorrow’s fraud — without waiting for it to happen.
Predictive Fraud Modeling
AI Defender doesn’t just react — it predicts what’s next.
- Trend analysis on messaging, voice, and signaling traffic
- Scenario simulation based on global fraud data
- Early threat forecasting (e.g. new IRSF tactics, evolving spoofing methods)
- Pre-emptive model tuning before attacks materialize
Whether it’s a robocall in Spanish or a phishing SMS in Arabic — the AI sees through the words and catches the intent.
NLP for Voice & Text Fraud Detection
Built-in Natural Language Processing (NLP) models power content awareness at scale:
- Real-time speech-to-text transcription (dozens of languages & dialects)
- Voice biometrics + tone/cadence analysis for scam calls
- Text classification for SMS/MMS/RCS smishing and phishing
- Language-agnostic pattern recognition (including regional variants)
Intelligence in Action
| Capability | Impact |
|---|---|
| 🧠 Behavioral modeling | Detected & blocked IRSF with no prior signature |
| 🤖 Federated learning | Shared new scam pattern across 6 countries within 24 hours |
| 🔮 Predictive analysis | Adjusted blocking policy ahead of global smishing wave |
| 🗣️ NLP classification | Caught multilingual deepfake calls in Tier-1 VoIP network |