Latest news with #FullyHomomorphicEncryption
Yahoo
24-04-2025
- Business
- Yahoo
CryptoLab to Participate in RSAC 2025, the World's Largest Cybersecurity Conference "Unveiling Encrypted Facial Recognition (EFR)"
Enables facial data processing in an encrypted state, powered by EFR's core homomorphic encryption technology, CKKS. A cutting-edge security solution designed to withstand quantum computing, utilizing a cryptographic algorithm in the same family as the quantum-resistant encryption selected by the U.S. NIST. SEOUL, South Korea, April 23, 2025 /PRNewswire/ -- CryptoLab, a cybersecurity company specializing in next-generation homomorphic encryption led by CEO Jung Hee Cheon announced on April 24 that it will unveil its Encrypted Facial Recognition (EFR) solution for the first time at RSA Conference 2025. Celebrating its 20th anniversary this year, the RSA Conference 2025 (RSAC) is the world's largest cybersecurity conference, attracting over 45,000 participants. At this event, CryptoLab will showcase its EFR solution, which is based on Fully Homomorphic Encryption (FHE) technology and aims to overcome the security limitations of conventional facial recognition systems. Facial recognition technology is rapidly expanding across various sectors, including payment systems, access control, and smart cities. It is also being adopted at major international airports such as those in the U.S. (Denver), Incheon, and, Abu Dhabi. As the global trend shifts toward contactless, biometric-based automated boarding systems, facial recognition is increasingly becoming a critical component. However, as facial recognition becomes more widespread, concerns over the leakage of personal biometric data are also growing. In fact, the "facial templates" stored in these systems — numerical representations of users' unique biometric data — have been shown in studies to be capable of reconstructing original face images if leaked. This poses serious security risks, including identity theft and impersonation. CryptoLab's EFR solution presents a groundbreaking approach to these concerns. Not only does the EFR solution store facial templates in encrypted form, but it was also designed to perform the matching process in an encrypted state. This means that facial data remains encrypted throughout the entire processing workflow and is never decrypted at any point. The key technology of EFR is the 4th-generation FHE algorithm, CKKS. CKKS is a lattice-based cryptographic scheme and belongs to the same family as ML-KEM and ML-DSA, quantum-resistant encryption algorithms selected by NIST (U.S. National Institute of Standards and Technology). This positions EFR as a next-generation security solution designed to withstand not only current threats but also those posed by future quantum computing. Thanks to GPU acceleration, the system can process tens of millions of facial templates in real-time, within milliseconds, and can scale linearly with demand, making it adaptable to a variety of enterprise environments. Its accuracy is comparable to that of plaintext-based facial recognition systems, setting a new standard in secure facial recognition technology. CryptoLab's EFR solution will be offered under a commercial license for enterprises and developers. More details can be found on the official EFR website: #Introduction of CryptoLab CryptoLab is a startup founded in 2017 by Professor Jung Hee Cheon of the Demartment of Mathematical science. The company has developed core technology in post-quantum cryptography (PQC) which is secure against quantum computers and fully homomorphic encryption which enables computation on encrypted data (CKKS). CEO Jung Hee Cheon is the inventor of CKKS which is the latest 4th generation homomorphic encryption algorithm and is a globally renowned expert in the field. The company's Chief Scientist, Damien Stehlé, is one of the authors of the CRYSTALS-Kyber and CRYSTALS-Dililthium algorithms, which have been selected as US NIST PQC Standards. CryptoLab is manned by a team of world-class experts in both FHE and PQC. Recently, two of CryptoLab's algorithms, HAETAE and SMAUG-T, were selected as finalists in Korea's national PQC competition. In 2022, CryptoLab secured approximately 21 billion KRW in investment from Altos Ventures, Stonebridge Ventures, and Kiwoom Investment, affirming its technological leadership. In the same year, it was recognized as a leading company in homomorphic encryption by Gartner. CryptoLab is driving a paradigm shift in data security through close collaboration with major domestic and international enterprises. View original content to download multimedia: SOURCE CryptoLab Sign in to access your portfolio
Techday NZ
24-04-2025
- Business
- Techday NZ
Lattica secures $3.25 million to boost private AI with FHE
Lattica has announced its emergence from stealth mode and raised $3.25 million in pre-seed funding to bring Fully Homomorphic Encryption (FHE) to cloud-based artificial intelligence applications. The funding round was led by Cyber Fund, the investment firm of Managing Partner Konstantin Lomashuk, with additional participation from angel investor Sandeep Nailwal, who is a co-founder of both Polygon Network and Sentient: The Open AGI Foundation. Lattica's technology aims to address persistent privacy and security challenges in sectors such as healthcare, finance, and government, where organisations are hesitant to adopt AI over concerns about sensitive data exposure. Referencing the Cisco 2025 AI Briefing: CEO Edition, the company highlighted that 70% of surveyed CEOs are worried about their network security due to increasing AI use, and 34% see security as a major obstacle to AI adoption. FHE, which allows encrypted data to be queried by AI models without decryption, has long been considered a desired goal in cryptography, but has until now suffered from computational inefficiencies. Lattica claims it has managed to operationalise FHE by leveraging the latest advancements in the AI acceleration stack, making use of acceleration techniques that improve FHE's commercial viability. Dr. Rotem Tsabary, Founder and Chief Executive Officer at Lattica, holds a PhD in lattice-based cryptography from the Weizmann Institute of Science and leads a team focused on the mathematical similarities between FHE and machine learning to build a cloud-based, hardware-agnostic platform for private AI computation. Central to Lattica's solution is the Homomorphic Encryption Abstraction Layer (HEAL), a cloud-based service designed to enhance FHE's performance and streamline its adoption. HEAL operates as an interface connecting FHE-equipped applications with a variety of computing hardware, including GPUs, TPUs, CPUs, and purpose-built accelerators such as ASICs and FPGAs. "By combining the advancements of hardware acceleration with software-based optimisation, we realised that not only could we improve FHE efficiency to the point of commercial viability, but use it to solve critical data dilemmas holding back AI's adoption in sensitive industries," said Dr. Rotem Tsabary, founder and CEO of Lattica. "We're enabling practical FHE by developing a solution that is tailor made for neural networks." In conjunction with its debut, Lattica has posted demonstration versions of its platform and shared the results of an in-depth survey conducted within the FHE community. According to these findings, 71% of participants believe FHE adoption will likely depend on a hybrid approach consisting of both hardware and software innovations. Konstantin Lomashuk, Managing Partner at Cyber Fund, commented, "Lattica is pushing the boundaries of Fully Homomorphic Encryption, solving one of the most critical challenges in AI security. Cyber Fund is proud to have led Lattica's pre-seed round. This is the kind of deep-tech innovation that defines the future, and we're excited to see Lattica leading the way." The healthcare and finance industries are specific targets for Lattica, given the demand for secure, cloud-based AI applications that can process medical and financial data without exposing such information to providers or third-party platforms. The company sees use cases in encrypted financial transactions and secure data analysis for medical research. Sandeep Nailwal, co-founder of Polygon Network and investor in Lattica, said, "Lattica's product-first approach fundamentally transforms sensitive data processing in the AI ecosystem. Lattica has made FHE a reality that is both practical and scalable, as Tsabary and her research team is proving that advances in the machine learning stack can significantly boost the performance of FHE and have an immediate impact on the market."
Associated Press
09-02-2025
- Business
- Associated Press
AO Mainnet Launches, Ushering in a New Era of Decentralized Computing and Permissionless Ecosystem Growth
AO, a revolutionary platform for decentralized computing, launches its mainnet today following a highly successful testnet phase, with key milestones including: Over $700 million pre-bridged to the AO testnet prior to launch. More than 1.5 billion messages processed on the AO testnet. Over 100 projects already integrated on the AO protocol, spanning decentralized exchanges, Web3 games, and more. A fair launch distribution model, awarding 100% of AO tokens to users who deposited assets to the testnet and Arweave token holders. 'AO is not just a smart contract platform; it's a decentralized supercomputer,' said Sam Williams, founder of AO and Arweave. 'Combined with Arweave, AO's architecture has the potential to radically change how we interact and transact on the web.' AO's Breakthrough Capabilities: Infinite Parallel Processing: AO enables the simultaneous execution of unlimited parallel processes. Each smart contract operates as its own parallel 'blockchain,' providing the throughput necessary to support internet-scale applications. Enhanced Security with TEEs: AO leverages Trusted Execution Environments (TEEs) for hardware-level security and private computation, enabling secure dApps without the overhead of Fully Homomorphic Encryption (FHE) or Zero-Knowledge Proofs (ZKPs). Unprecedented Smart Contract Data Capacity: AO smart contracts can be as large as standard computer programs, even supporting the on-chain execution of full Large Language Models (LLMs)—a Web3 first—with native access to all data stored on Arweave, which serves as AO's permanent hard drive. Self-Waking Contracts: AO smart contracts can be programmed to execute autonomously, facilitating the development of self-operating applications and supporting AO's growing ecosystem of autonomous AI agents. Modular Architecture: AO's ultra-flexible design empowers developers to customize and extend the computer to meet their specific project requirements. Fusing Blockchain and the Web: AO-Core AO-Core, the core protocol of AO, embeds verifiable, cryptographically linked computation directly into HTTP. This means every HTTP request—from loading a webpage to executing complex computations—becomes a potential AO transaction. AO-Core is built on the web's native standards, HTTP3 and the HTTP signed messages, and transforms them into a decentralized computational platform, addressing the scalability and trust limitations of centralized systems. AO-Core embeds verifiable proofs of the correctness of online results, offering attestations of trustworthiness similar to the familiar padlock icon for secure connections. Harnessing the Web's Immense Network Effects AO uniquely leverages the vast network effects of the existing web infrastructure. By building upon established standards like HTTP Signed Messages, AO taps into a network far larger than any individual blockchain. Existing web infrastructure, like Content Delivery Networks (CDNs), can now function as AO-Core state resolvers, dramatically increasing efficiency and scalability. Enhanced Security with TEEs: Enabling Private Computation AO offers a flexible security model, including execution inside TEEs, providing hardware-level security for private computations. This approach achieves high verifiability without the performance overhead of traditional methods like FHE and ZKPs. This trust-minimized verifiable infrastructure allows developers to run any application in a secure and transparent manner. TEEs enable secure decentralized exchanges, private voting systems, and confidential smart contracts. Fair Launch Tokenomics: A Foundation for Equitable Growth AO's tokenomics are designed for fairness and long-term sustainability. A 100% fair launch, with a total supply of 21 million tokens and a continuous release mechanism, ensures equal access on equal terms. Arweave holders are eligible for AO tokens, recognizing Arweave's crucial role in providing permanent storage. Introducing the Permaweb Index (pi): Simplifying Access and Fueling Ecosystem Growth The Permaweb Index (pi) is designed to simplify user interaction with the permaweb by providing a single, accessible entry point to this decentralized ecosystem. Pi offers a diversified collection of assets, including: AR (Arweave): Representing the foundational layer of permanent storage. AO: Providing exposure to the core computational layer. Fair-Launch Ecosystem Projects: Including promising projects built on the permaweb, fostering innovation and growth. Key Features of the Permaweb Index: Automated Access to all Permaweb Tokens: Pi offers a single point of access to a range of key assets within the permaweb, reducing the complexity of managing multiple tokens. Automated Rebalancing: An autonomous on-chain agent dynamically manages the Index allocations to reflect the community's sentiment regarding token values. Fair Launch Participation: The Index participates in fair launches of new permaweb projects, further diversifying its holdings and supporting ecosystem growth while giving holders access to the newest and most exciting projects automatically. Passive Indexing and Active Delegation: Users can choose to passively hold pi for diversified exposure or actively delegate their future yield. 'The Permaweb Index (pi) represents a critical step towards building a unified economic base of the permaweb,' said Williams. 'By bridging the computational and storage layers, pi creates a cohesive ecosystem that fosters innovation and accelerates the growth of decentralized applications.' About Forward Research Forward Research is a venture protocol development company dedicated to growing the permaweb ecosystem. We are building towards a vision of a truly decentralized web, where user rights are immutably protected and software and data is permanent. Founded and led by Sam Williams, the founder of the Arweave and AO protocols, Forward Research looks to incubate projects that expand permaweb adoption and use cases. We believe that the permaweb's unique approach to data storage and its potential for creating truly decentralized applications will revolutionize the way we interact with the internet. SOURCE: Arweave PUB: 02/08/2025 05:00 PM/DISC: 02/08/2025 05:00 PM
