Azure is Microsoft’s cloud, allowing for software and hardware-based or hosted in the cloud and providing computing, analytical, storage, and networking services. From these services, the users can selectively take what they want to build new applications in the public cloud or migrate other applications already running to the public cloud.

IONIX today announced the release of our Cloud Exposure Validator, a tool designed to reduce cloud vulnerability management noise shifting focus to findings that represent the biggest threats. The Validator addresses the growing challenges organizations face in managing cloud security risks effectively. This blog post explains how.

In artificial intelligence (AI), especially within natural language processing (NLP), tokenization is a fundamental process that breaks down text into smaller, manageable units known as tokens. Depending on the specific task and model, these tokens can be individual words, subwords, characters, or even symbols.

As a modern CTO, it should probably come as no big surprise that I’m an optimist on the innovative prospects of artificial intelligence (AI). But I’ve been in this career for a long time, and that optimism is tempered with experience. I’ve seen enough emerging technology patterns to know that it always takes a lot more time and resources than people think to evolve innovative technologies beyond their final barriers.

In today’s rapidly evolving threat landscape, where cyberattacks grow more sophisticated by the day, staying ahead requires more than vigilance—it demands a platform built to operate at scale. Enter the Arctic Wolf Aurora Platform, the new name for our industry-leading security operations platform. With the ability to process over seven trillion events weekly, The Aurora Platform stands as one of the largest and most advanced cybersecurity platforms in our industry.

AI Agents have become indispensable in modern enterprises, driving efficiency, innovation, and competitive advantage. These agents, which can perform tasks ranging from simple automation to complex decision-making, are transforming how businesses operate. The adoption of AI agents is widespread, with companies leveraging them to enhance customer service, streamline operations, and gain insights from vast amounts of data.