AI-generated threats cannot be reliably defeated by more AI alone. In an ever-evolving world where malicious actors iterate faster than defensive models can adapt, traditional approaches become increasingly compute-intensive, reactive, and ultimately fragile.
Drawing on decades of expertise in acoustics, signal processing, and high-performance computing, UnCognito applies physics-based detection to identify structural inconsistencies that synthetic media cannot conceal.
The result is a fundamentally more efficient and robust solution: lower cost, lower latency, and resilient performance in real-time, high-throughput environments.
CPU Usage — on iPhone 16
RAM footprint — on-device
Concurrent audio streams (cloud)
Archived content / hour (batch)
| DIMENSIONS | AI vs AI APPROACH | UNCOGNITO™ PHYSICS-BASED |
|---|---|---|
| Competitive dynamic | Arms race — reactive to model evolution | Orthogonal — anchored in physical reality |
| Compute requirements | High — large inference piplines | Low — efficient signal processing |
| Detection basis | Model-learned patterns (fragile) | Physical structural inconsistencies |
| Performance over time | Degrades as generative models improve | Stable — adversarial iteration doesn't help attacker |
| Latency | Hign — model inference delay | Real-time capable |
| Edge / offline deployment | Limited — cloud-dependent | Native — on-device, secure, offline |
Fully self-contained, GDPR compliant.
Real-time, on-device with no transmission delays and no cloud compute or storage fees. Operates offline and in secure environments — data stays on-device with no exposure to external networks.
Closed-loop, GDPR-ready near real-time cloud processing.
A single instance handles 10K+ concurrent audio streams in real time. Batch mode processes 2,000 hours of archived content per hour. Supports archival/retrieval secured via cloud provider best practices.
Four key performance characteristics that differentiate UnCognito's approach:
CPU & RAM Requirements
Detection Spreed
Processing Architecture
Environment Support