Cryptolab to Unveil 'EFR' Encrypted Facial Recognition at RSAC 2025

Facial recognition technology has now become an essential element of our lives. From automated boarding systems at major international airports worldwide to payments, access security, and smart cities, the convenience of contactless authentication has become an undeniable trend. However, behind the spread of this technology, a serious security threat, 'personal biometric data leakage,' has cast a shadow. Research indicating that 'face templates' stored in existing systems, if leaked, could lead to fatal security incidents such as original face reconstruction, replication, and impersonation, has further amplified concerns. An innovative solution to address these challenges of our time is finally being unveiled. Cryptolab, a cryptographic technology security company, is set to unveil its 'Encrypted Facial Recognition (EFR)' solution for the first time at RSAC 2025, the world's largest cybersecurity conference. Cryptolab's EFR fundamentally overcomes the security limitations of existing facial recognition systems. The core lies in 'Fully Homomorphic Encryption (FHE)' technology. The EFR solution is designed not just to store users' face templates in an encrypted state, but also to perform the matching process itself in an encrypted state. This means that face information is never decrypted at any point throughout the processing, always remaining in an encrypted state. This signifies ultimate security, where even if information is leaked, the original biometric data cannot be restored. The 4th generation homomorphic encryption CKKS algorithm, EFR's core technology, is based on lattice-based cryptography. This belongs to the same family as ML-KEM and ML-DSA, which have been selected by the U.S. National Institute of Standards and Technology (NIST) as quantum-resistant cryptographic standards, and is evaluated as a next-generation security solution that perfectly prepares for not only current security threats but also the threats of the upcoming quantum computing era. In addition to powerful security, excellent performance is also a strength of EFR. Through GPU acceleration, it can process tens of millions of face templates in real-time within milliseconds (ms), and its performance can be linearly scaled according to enterprise environment requirements, allowing for flexible application in various fields. Cryptolab's EFR solution will address the contemporary challenge of protecting personal biometric data and set a new standard for the secure widespread adoption of facial recognition technology. It is anticipated that EFR, to be unveiled at RSAC 2025, will pave a new path towards a safer and more convenient future.