AI & ML Security

Adding complex encryption to federated learning rounds can introduce delays of nearly eighteen seconds, which is unsuitable for life-critical medical interventions. In the rapidly evolving technological landscape of 2026, the Internet of Medical Things has become the backbone of modern clinical

Hackers are increasingly exploiting the trust between developers and their AI coding assistants to gain unauthorized entry into corporate cloud environments. This shift marks a significant evolution in the threat landscape, where the Aoki infostealer has pivoted from traditional financial targets

The onboarding process for new accounts has become a critical vulnerability, now representing thirty-three percent of the total fraud exposure for banks. In the current landscape of 2026, North American financial institutions are witnessing a transformation in how criminal networks operate,

The release of Fortanix Confidential AI aims to bridge the gap between understanding data-in-use risks and implementing verifiable protection during live inference. As enterprises increasingly migrate their generative models and complex neural networks to Kubernetes-based environments, they often

Identity verification firms are shifting their focus from initial onboarding security toward a model that provides continuous protection against account takeovers. As digital ecosystems become increasingly interconnected, the traditional gatekeeper model of security is proving insufficient for the

The new security suite for Microsoft 365 E7 introduces a fundamental strategic shift by treating high-privilege automation with the same rigor as human staff. This transition reflects a growing realization that as AI agents gain the ability to navigate internal databases, modify files, and