Samsung Galaxy S7 and A Smartphones Adopt Infineon Security and RF Chips
Published2016.03.09 09:38RF switches increase transmission speed and reduce power consumption.
Samsung has adopted security and RF (radio frequency) chips from Infineon Technologies (Korea CEO Lee Seung-soo) for its Galaxy S7 and Galaxy A smartphones. While smartphone manufacturers differentiate their products through security or performance in a fiercely competitive market, Samsung has chosen both simultaneously.
Smartphone users can enjoy benefits such as improved data transmission speeds and reduced power consumption from the low-noise amplifier (LNA), antenna tuner, and RF switch embedded in the smartphone. Additionally, the embedded Secure Element protects security-critical functions in mobile devices. This chip enables new applications such as the transmission of sensitive payment certificates for contactless payments, convenient biometric authentication for users, and mobile ticketing.
Mobile payment leader
Embedded security chips are establishing themselves as a mainstream security solution for Near Field Communication (NFC) applications. According to HIS, shipments of smartphones equipped with NFC security chips are projected to increase from 427 million units in 2015 to 1.62 billion units in 2020 (NFC 2015 Report). As the NFC method gains trust as a secure mobile service that is easy for consumers to use, it is expected to spread significantly as a mobile payment method.
관련뉴스
Infineon's security chip adopted in Lenovo smartphones
인피니언은 NFC 기술로 안전한 모바일 거래를 위해 레노버(Lenovo)의 최신 스마트폰에 임베디드 보안칩(embedded Secure Element, eSE)을 공급한다. 레노버 바이브 P1(Vibe P1) 및 X3에 인피니언의 보안 컨트롤러가 사용된다. 이 보안 칩은 모바일 기기에서 보호하는 역할을 한다. 그럼으로써 휴대전화를 사용해 비접촉 결제를 할 때나 대중 교통의 모바일 티케팅을 할 때 등 민감한 결제 정보를 안전하게 전송한다.
2015.12.03by
Infineon's OPTIGA™ TPM security chip is featured in Microsoft's Surface devices.
마이크로소프트(Microsoft)는 커넥티드 기기에 저장된 민감한 사용자 정보를 보호하기 위해 강력한 하드웨어 기반의 보안을 제공한다. 마이크로소프트는 신제품 서피스 프로 4(Surface Pro 4) 태블릿과 최초의 자체 브랜드 노트북 서피스북(Surface Book)을 포함한 최신 개인 컴퓨팅 기기에 인피니언 테크놀로지스의 OPTIGA™ TPM(Trusted Platform Module)을 탑재하였다.
2016.01.20by
The Problem with AI is Not Performance, but Trust
CEO Kang Min-seung emphasized at Snowflake's World Tour Seoul that generative AI has entered a phase where "trust" rather than accuracy becomes the key competitive advantage. As AI is applied to various tasks including consultation, risk management, and operational automation, incorrect data, erroneous responses, and bias are creating actual business risks. He pointed out that enterprises must build a trust layer above AI. To achieve this, accurate data management, semantic structuring, governance, and prompt security are essential. He explained that AI is not merely an automation tool but a technology that reorganizes the entire organization's workflows and decision-making systems. Snowflake provides a platform that supports this trust-based AI operation, emphasizing that enterprises should build "trustworthy AI" rather than "intelligent AI."
2026.08.28by 배종인 기자
The Decisive Factor for AI Agents in Finance: "Trustworthy Data Infrastructure"
The key to spreading AI agents in the financial sector is establishing a trustworthy data system. KB Kookmin Bank is operating over 100 AI agents by 2025 and is promoting expansion to 300. AI is automating repetitive tasks across various areas such as consultation, risk management, wealth management, and relationship management. However, if data quality, governance, and semantic structuring are insufficient, errors and risks increase. KB is building an AI-Ready organization through a multi-model strategy of GPT, Gemini, and Claude, as well as a Snowflake-based data system. The bank emphasized that AI has entered a phase where it restructures not just simple automation but the entire work process and decision-making system.
2026.08.28by 배종인 기자
Snowflake Presents Data Platform Roadmap for Agentic AI Era
Snowflake emphasized at the Seoul roundtable that the key to enterprise AI proliferation lies in "Agentic AI" and the integration of data and workflows. Bala Kasivisvanathan stated that AI is evolving beyond simple analytics to become the driver of task automation and operational optimization, and that organizations must strengthen their data quality, processes, and governance as prerequisites for this. CJ OliveNetworks introduced that it is currently expanding AI applications in logistics and operational automation. Snowflake stressed that companies need a strategic shift to connect AI adoption to tangible business impact.
2026.08.28by 배종인 기자
