A vast network of millions of compromised computers, being used to facilitate a wide range of cybercrime, has been disrupted by a multinational law enforcement operation. The 911 S5 botnet, described as "likely the world's largest botnet ever" by FBI Director Christopher Wray, has had its infrastructure and assets seized and its alleged mastermind arrested and charged. 35-year-old YunHe Wang, a dual citizen of China and St.

The use of artificial intelligence (AI) for defense allows for the better scanning of networks for vulnerabilities, automation, and attack detection based on existing datasets. However this is all in defense against an unknown attacker, who can have varying offensive tools all designed to overcome the most sophisticated defense. Is the biggest challenge for defensive AI that there is an offensive AI operator with unknown capabilities? And has offensive AI lowered the barrier of entry for bot attackers?

In March 2024, the Sysdig Threat Research Team (TRT) began observing attacks against one of our Hadoop honeypot services from the domain “rebirthltdio). The threat actors operating the botnet are financially motivated and advertise their service primarily to the video gaming community, although there is no evidence that this botnet is not being purchased beyond gaming-related purposes, and organizations may still be at risk of falling victim to these botnets attacks.

The definition of Artificial Intelligence (AI) has been thrown around whilst it has risen to the top of the tech agenda over the past couple of years. Security professionals have determined AI to be a risk to businesses, and also an opportunity. But could it also be a way to better defend your network against attacks? For many years, AI and Machine Learning have gone hand in hand; with AI used to better determine defensive decisions and cut down on the human element in more basic functions.