Enhancing Compute Security Architecture For New-Age Applications


New-age AI-powered applications are becoming increasingly essential in our daily lives. Continuing to do so requires that these applications and services meet three primary challenges: Achieving high performance for complex compute tasks. Ensuring cost-effectiveness and seamless integration with existing infrastructure. Maintaining robust security and privacy measures. Historicall... » read more

Providing Line-Rate Network Security With MACsec


Network security protocols are the primary means of securing data in motion; that is, data communicated between closely connected physical devices or between devices and even virtual machines connected using a complex, geographically distributed infrastructure. This blog will explore Media Access Control security (MACsec) and how it can be used to provide foundational level network security for... » read more

Confidential Computing: A Key To Secure Cloud And Edge Environments


Historically, data security was primarily focused on safeguarding data residing within systems controlled by the users themselves, such as on-premise storage and server infrastructure. In such a siloed environment, information stored on the storage media, Data-at-Rest, was encrypted to ensure security. Data-in-Motion (aka Data-in-Transit) was safeguarded by encrypting it before transmitting it ... » read more

Navigating Complexity And Enhancing Security In Advanced Automotive Systems


As the automotive industry advances towards higher levels of Advanced Driver Assistance Systems (ADAS), the complexity of vehicles is growing at an unprecedented rate. Modern vehicles are equipped with an increasing array of ADAS sensors, sophisticated algorithms, powerful processors, advanced in-vehicle networks, and millions of lines of software code. These components are crucial for processi... » read more

A Practical Approach To Inline Memory Encryption And Confidential Computing For Enhanced Data Security


In today's technology-driven landscape in which reducing TCO is top of mind, robust data protection is not merely an option but a necessity. As data, both personal and business-specific, is continuously exchanged, stored, and moved across various platforms and devices, the demand for a secure means of data aggregation and trust enhancement is escalating. Traditional data protection strategies o... » read more

Securing AI Silicon


The importance of security in AI training/inference silicon is increasing in awareness. Over the past several months, I’ve noticed many questions in common from various parts of the microelectronic industry. In this blog post, I’ll share my thoughts on some of these most frequently asked questions. Firstly, people often ask if securing AI silicon is different from securing other types of... » read more

LPDDR Memory Is Key For On-Device AI Performance


Low-Power Double Data Rate (LPDDR) emerged as a specialized high performance, low power memory for mobile phones. Since its first release in 2006, each new generation of LPDDR has delivered the bandwidth and capacity needed for major shifts in the mobile user experience. Once again, LPDDR is at the forefront of another key shift as the next wave of generative AI applications will be built into ... » read more

The Importance Of Memory Encryption For Protecting Data In Use


As systems-on-chips (SoCs) become increasingly complex, security functions must grow accordingly to protect the semiconductor devices themselves and the sensitive information residing on or passing through them. While a Root of Trust security solution built into the SoCs can protect the chip and data resident therein (data at rest), many other threats exist which target interception, theft or t... » read more

Securing AI In The Data Center


AI has permeated virtually every aspect of our digital lives, from personalized recommendations on streaming platforms to advanced medical diagnostics. Behind the scenes of this AI revolution lies the data center, which houses the hardware, software, and networking infrastructure necessary for training and deploying AI models. Securing AI in the data center relies on data confidentiality, integ... » read more

Innovative Cybersecurity Solutions Accelerate TTM For The Software-Defined Vehicle


The automotive industry is undergoing a transformative shift towards the software-defined vehicle (SDV), signaling a new era that prioritizes customer-centric mobility and presents new, data-based revenue opportunities across the automotive value chain and ecosystem. However, this transition also presents many challenges, from managing increasingly complex hardware (HW) and software (SW) design... » read more

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