Azure Cloud Switch | Breaking Cybersecurity News | The Hacker News

Earlier this month, Microsoft surprised us all with the announcement that they built a Linux kernel-based operating system, Azure Cloud Switch (ACS) , for developing software products for Network Devices. Now, Microsoft just announced that they have selected Ubuntu as the operating system for their Cloud-based Big Data services. Yes, Microsoft needs Linux. To expand its Azure Data Lake project, that makes Big Data processing and Analytics simpler and more accessible, Microsoft has partnered with Hortonworks and Canonical to launch " Azure HDInsight " for Linux users. Azure HDInsight is a Hadoop-based Big Data solution powered by Cloud that is now also available for Ubuntu, along with Windows OS. By offering both Windows and Linux clusters, Microsoft's fulfills its aim to enhance its own cross-platform aspirations that will accelerate a move towards Hybrid Cloud Computing . " The collaboration between Microsoft and Canonical to create the option to run Azur...

Sit Tight on your seats, because you're gonna get a Shock. Microsoft has developed an Operating System powered by LINUX. Close your mouth first. It's True! Microsoft has built its own Linux-based operating system called Azure Cloud Switch (ACS ) and believe me, under Satya Nadella, Microsoft has become more open than ever. According to the announcement made through an official blog post on Microsoft website, Azure Cloud Switch (ACS) describes as "cross-platform modular operating system for data center networking built on Linux." or Simply, " Commodity switch software stack for data center networks". The Purpose of developing Linux-based Azure Cloud Switch (ACS) operating system at Microsoft is to make it simpler to control the hardware from multiple vendors ( such as Switches ) that powers their cloud-based services. And here's the Kicker: "Running on Linux, ACS [Azure Cloud Switch] is able to make use of its vibrant eco...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...