Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Stablecoins have quickly moved beyond crypto markets. They are now at the center of a much larger contest: how currencies compete for influence in global trade and payments. In this race, Hong Kong has positioned itself as a testing ground for the role stablecoins can play in extending monetary power, while still maintaining strict regulatory guardrails.

In the rapidly evolving digital asset landscape, one truth remains constant: security cannot be an afterthought. For regulated institutions navigating the complexities of digital asset adoption, the challenge goes beyond embracing innovation. It’s about doing so within the rigid frameworks of compliance, audit requirements, and risk management that define institutional operations.

For years, ransomware gangs have thrived by holding businesses hostage, forcing a terrible choice: pay up or watch your systems collapse. That era is ending. After a summer of cyber chaos that hit everything from the NHS to Harrods, the UK government has drawn a red line: no more quiet payoffs, no more sweeping attacks under the rug.

Every year, mobile devices become more powerful, more innovative, and more complex. That’s good news for diligent workers who want to stay connected and productive. Unfortunately, it’s also good news for threat actors who want to steal sensitive data. Zero-day vulnerabilities in mobile applications and operating systems (OSs) are becoming more common over time.

Generative artificial intelligence (GenAI) went mainstream in 2022 with the launch of ChatGPT. Now, tech companies are turning their attention toward the next big advancement: agentic AI. Within the next few years, generative AI and agentic AI may coexist in the professional world, synthesizing information and streamlining operations more efficiently than humans can.

Modern businesses are drowning in content. Documents, presentations, images, audio recordings, videos, the volume grows exponentially every day. Traditional search tools, built on outdated keyword matching, simply can't keep pace. They only help users find information if they know what to look for and what keywords to use. This inefficiency comes at a cost: delayed decisions, missed opportunities, and frustrated teams spending more time searching than working. The solution?

Cisco devices don’t warn you before rebooting with unsaved changes. A missed write memory means the running config is lost—and the device reloads with an outdated startup config. That’s how critical updates disappear, outages happen, and incidents get escalated. Manually checking for this drift across hundreds or thousands of devices is tedious and error-prone.

Today, we are announcing a new approach to catching bots: using models to provide behavioral anomaly detection unique to each bot management customer and stop sophisticated bot attacks.

The recent cyberattack on Jaguar Land Rover (JLR), which forced factory closures and disrupted production, is another reminder of how vulnerable connected industries have become. Modern automotive and manufacturing operations rely on networks of connected devices, from robotic arms on the production line to electronic control units (ECUs) inside vehicles. When security breaks down, the consequences quickly ripple across operations, supply chains, and customers.

Open-source repositories like npm and PyPI are instrumental in modern software development. They give developers access to countless libraries, accelerating innovation and shortening time-to-market. However, this convenience comes with a hidden cost. Lurking within these essential resources lie malicious packages. Left undetected, they can impact application integrity, compromise sensitive data and undermine organizational trust.