CryptoLab and Niobium have announced a groundbreaking strategic partnership to revolutionize privacy and performance in Large Language Models (LLM) and Generative AI (GenAI). This collaboration aims to create real-time encrypted GenAI solutions, enhancing data privacy without sacrificing performance. By integrating CryptoLab’s homomorphic encryption software with Niobium’s FHE acceleration hardware, the partnership sets a new standard for secure and privacy-centric AI.
Key Highlights
- Encrypted GenAI: Through homomorphic encryption, user data remains encrypted during AI computations, ensuring that sensitive information is never exposed, even to the AI itself.
- Homomorphic Encryption Acceleration:
- Niobium’s Fully Homomorphic Encryption (FHE) accelerator hardware, combined with CryptoLab’s HEaaN CKKS technology, accelerates encryption operations without compromising speed.
- Joint efforts will bring encrypted AI inference speeds on par with unencrypted operations.
Partnership Benefits
- Innovative FHE Acceleration:
- The integration of CryptoLab’s advanced homomorphic encryption and Niobium’s FHE hardware brings practical, privacy-preserving AI applications to the mainstream.
- This technology enables industries to achieve fast and secure AI operations, making privacy and performance a reality.
- Quantum-Resistant Security:
- Leveraging post-quantum cryptography, the partnership aims to defend against emerging cyber threats, including those from quantum computing.
- Scalable Privacy Solutions:
- The partnership is focused on delivering scalable privacy-preserving AI solutions, making advanced FHE technology accessible to a wide range of industries, from healthcare to finance.
- Global Standardization Leadership:
- CryptoLab and Niobium will lead the charge in establishing global standards for privacy-preserving AI, positioning themselves as key players in the Private AI movement.
Use Cases and Impact
- Secure Healthcare Data Analysis:
- Private GenAI can securely analyze sensitive patient data in real-time without exposing it, revolutionizing healthcare data management and privacy.
- Privacy Standards in Financial Modeling:
- In finance, encrypted AI can transform privacy standards by ensuring secure data handling in financial models and predictions without sacrificing performance.
Leadership Perspectives
- Jung Hee Cheon, CEO of CryptoLab:
- “This partnership is a quantum leap for Private AI. By collaborating with Niobium, we are redefining the foundations of secure, privacy-first AI.”
- Kevin Yoder, CEO of Niobium:
- “The synergy between our FHE acceleration technology and CryptoLab’s software unlocks the full potential of secure data utilization in AI.”
The CryptoLab-Niobium partnership is set to drive a new era in privacy-centric AI, blending cutting-edge encryption technology with high-performance AI models. This collaboration marks a significant advancement in secure AI applications, with implications across multiple industries and a long-term vision to establish global privacy standards in AI.
