Revolutionizing
AI Security
for Edge Devices
The Challenge
AI has the potential to transform edge devices—smartphones, IoT gadgets, and beyond. But despite its promise, AI hasn't yet been widely adopted on edge devices. Why? Security. Until now, there hasn’t been a solution capable of protecting AI models without compromising performance, power efficiency, or area constraints.
Our Breakthrough
We’ve developed a groundbreaking security solution that makes secure
AI on edge devices a reality. Here’s how we redefine what’s possible:
Unmatched
Efficiency
Achieving at least 10x better power consumption compared to traditional unprotected encryption (e.g., AES), allowing for truly efficient deployment on power-constrained devices.
Uncompromised
Performance
Protecting your AI models with zero performance degradation.
Robust
Security
Defending against sophisticated physical and cyber-physical threats, including Side-Channel Attacks (SCA), Fault Injection Attacks (FIA), and PQC (post quantum cryptography) security.
Space
Optimization
Significant area reductions enable seamless integration into even the most resource-constrained SoCs.
Why It Matters
The ability to move AI to edge devices transforms industries. It:
Enhances
Responsiviness
Enables real-time decision-making critical for applications like autonomous systems and smart healthcare.
Cuts costs
Reduces reliance on cloud computing and associated latency issues.
Secures
Sensitive Data
Protects intellectual property and user privacy from sophisticated attacks.
Who Can Benefit?
Our solution is designed for:
IoT Device
Manufacturers
SoC
Designers
OEMs and AI
Developers
Enabling secure, energy-efficient AI in next-gen smart devices.
Integrating lightweight, secure AI protection directly and simply into chip architectures.
Securing intellectual property and ensuring compliance with emerging standards.
