Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

There is no question that cybersecurity is on the brink of an AI revolution. The cloud security industry, for example, with its complexity and chronic talent shortage, has the potential to be radically impacted by AI. Yet the exact nature of this revolution remains uncertain, largely because the AI-based future of cybersecurity is still being invented, step by step.

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.