Helen Laidlaw

Traditional data loss prevention tools often fail to recognize the nuances of AI prompts, allowing sensitive customer data to leak into external large language models. As corporate reliance on artificial intelligence transitions from an experimental phase to a standard operational pillar in 2026,

Once an attacker gains control over a single employee's identity through social engineering, they can often move laterally across the entire enterprise network. This reality is at the heart of recent operations by the threat group known as Scattered Spider, whose sophisticated manipulation of

Rupert Marais joins us today to dissect a critical failure in the infrastructure supporting modern AI development. As a security specialist with deep expertise in endpoint protection and network management, he has spent years helping organizations navigate the complexities of digital hygiene and

Navigating the Digital Disruption in Global Retail The recent cybersecurity breach at Ahold Delhaize, a massive Dutch-Belgian retail powerhouse, serves as a sobering and stark reminder of the inherent vulnerabilities found in modern, interconnected global supply chains. As one of the world’s

A decade-old test account protected by the elementary password 'Password1' served as the primary entry point for a devastating ransomware attack against two Welsh organizations. This serious breach of security protocols led the Information Commissioner’s Office (ICO) to issue formal reprimands to

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

Dito utilizes a one-hundred percent on-shore engineering team to meet the stringent data sovereignty and personnel requirements of U.S. government entities. This strategic operational model is essential for navigating the highly regulated landscape of 2026, where digital threats have become more

The speed of this campaign highlights a critical need for defenders to adopt AI-driven monitoring systems to counter the increasing velocity of automated network intrusions. The digital threat landscape underwent a radical transformation as sophisticated threat actors integrated large-scale

Monitoring for specific behavioral indicators like unique beacon labels and WMI queries is now more effective than relying on static file analysis for threat detection. The global cybersecurity landscape is currently witnessing a transformative shift as state-sponsored threat actors, specifically

The Japanese digital economy faced a significant surge in credential theft as threat actors attempted to convert stolen financial assets into Chinese stocks. This trend reached a critical point in the current landscape, necessitating an unprecedented level of cooperation between global