Author's Latest Posts


Confidential Computing To Secure AI Workloads


Artificial Intelligence (AI), data analytics, and high-performance computing (HPC) are transforming industries such as healthcare, finance, and manufacturing. These workloads rely on distributed systems managing massive datasets with high reliability. As computational demand grows, so does the need for end-to-end data protection. Traditional security addresses Data at Rest (DAR) and Data in ... » read more

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

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