The healthcare IT landscape is rapidly evolving and driven by digital transformation efforts that aim to enhance patient care and network operational efficiency. However, this digital shift introduces complex challenges, including escalating security threats and the critical need for robust, reliable network infrastructure.

With the proliferation of AI/ML enabled technologies to deliver business value, the need to protect data privacy and secure AI/ML applications from security risks is paramount. An AI governance framework model like the NIST AI RMF to enable business innovation and manage risk is just as important as adopting guidelines to secure AI. Responsible AI starts with securing AI by design and securing AI with Zero Trust architecture principles.

Apocalypse now? Later? Will it ever happen? Computers can solve many problems in our day-to-day lives, making working remotely, storing files, and connecting with people from across the globe significantly easier. But has the development of computing technology gone too far? The potential of quantum computers may lead to technical breakthroughs in machine learning, science, and healthcare, but these powers may come at a cost. Current computer systems are far less powerful than quantum computers.

In January 2024, Cloudflare employee Brittany Peach achieved social media virality when she recorded a video of her former company firing her and posted the exchange on TikTok, where it was viewed millions of times and featured as front-page news across mainstream media platforms. She’s just one of many employees recording and posting their layoff meetings online. This trend is accelerating as more companies make staffing cuts. However, these videos reflect more than just a viral internet trend.

The integration of Artificial intelligence (AI) is forcing a significant transformation in the business operations landscape. Through automation, data analysis and predictive capabilities, AI is reshaping how businesses operate as companies look to spur productivity.

Kubernetes, also referred to as k8s or “kubes,” stands as a portable, extensible, open-source container orchestration platform designed for managing containerized workloads and services. Initially developed by Google based on its internal systems Borg and later Omega, Kubernetes was introduced as an open-source project in 2014 and subsequently donated to the Cloud Native Computing Foundation (CNCF).

Keeping track of who is accessing your systems and data is a critical part of any security program. Requirement 10 of the PCI DSS covers logging and monitoring controls that allow organizations to detect unauthorized access attempts and track user activities. In the newly released PCI DSS 4.0, Requirement 10 has seen some notable updates that expand logging capabilities and provide more flexibility for merchants and service providers.

Organizational red teams are tasked with the critical responsibility of ensuring preparedness against real-world threats. But the ability to accurately replicate complex threat behavior can often be resource-intensive, expensive, and difficult to operationalize. As sophisticated threat actors continue to evolve their attack patterns, replicating this rapidly changing behavior can become nearly impossible.

We're proud to introduce the Advanced DNS Protection system, a robust defense mechanism designed to protect against the most sophisticated DNS-based DDoS attacks. This system is engineered to provide top-tier security, ensuring your digital infrastructure remains resilient in the face of evolving threats. Our existing systems have been successfully detecting and mitigating ‘simpler’ DDoS attacks against DNS, but they’ve struggled with the more complex ones.