In the modern, cloud-first era, traditional data protection technology approaches struggle to keep up. Data is rapidly growing in volume, variety, and velocity. It is becoming more and more unstructured, and therefore, harder to detect, and consequently, to protect.
Generative AI, the transformative technology causing a stir in the global tech sphere, is akin to an enthralling narrative with its charming allure and consequential dark underbelly. Its most notable impact is forecasted in the realm of identity proofing, creating ripples of change that demand our immediate attention.
A new flaw in AMD's Zen 2 processors is detailed in this blog post (archive.org snapshot) today, July 24, 2023. The 'Zenbleed' flaw affects the entire Zen 2 product stack, from AMD's EPYC data center processors to the Ryzen 3000 CPUs, and can be exploited to steal sensitive data stored in the CPU, including encryption keys and login credentials.
Selecting an identity management solution is a critically important decision for any software organization. Identity management is a foundational component of good cloud security and can either be an enabler for scalability or a huge technical debt sink. Many organizations start with AWS by quickly throwing together their IAM infrastructure: some users, a few roles, and some policies.
A few years back, data was constrained to the on-premise infrastructure. Data management, governance, and protection were fairly uncomplicated in this enclosed environment. The emergence of cloud computing and multi-cloud infrastructures has not only introduced more complexity in data management and governance, but it has also increased security risks significantly.
For anyone who follows industry trends and related news I am certain you have been absolutely inundated by the torrent of articles and headlines about ChatGPT, Google’s Bard, and AI in general. Let me apologize up front for adding yet another article to the pile. I promise this one is worth a read, especially for anyone looking for ways to safely, securely, and ethically begin introducing AI to their business.
