AI & ML Security

By leveraging the ambient authority of unprotected Docker APIs, the CARBONATO botnet achieves container breakout and executes code directly on the underlying host system. This discovery represents a pivotal moment in 2026, marking the transition from traditional, script-based malicious activity to

Establishing a reliable measure of expertise for AI operations and incident response has become a top priority for organizations facing an increasingly automated threat landscape. As generative models and autonomous agents become standard components of enterprise infrastructure, the absence of a

A flat condolence payment of five thousand yen was offered to every affected user as part of a broader remediation strategy to rebuild consumer confidence. This initial response followed a massive security failure at the GMO Internet Group that has rattled the global technology sector and prompted

An operational blunder involving an unsupported API version was the only reason the threat actor failed to delete the victim's Azure SQL databases. This technical oversight by the adversary, identified as Storm-3168 or JADEPUFFER, serves as a narrow reprieve for an Azure tenant that was otherwise

The rapid integration of autonomous AI coding agents into professional software development workflows has inadvertently created a massive new attack surface that bypasses traditional security perimeters by exploiting the fundamental way these models process plain-text instructions. Rather than

Prohibiting the use of artificial intelligence is proving to be an ineffective strategy that typically leads to further clandestine tool adoption by employees. In the current landscape of 2026, the reliance on autonomous tools has reached a critical tipping point where productivity gains often mask