With the emergence of artificial intelligence (AI), there has been a flurry of new terms to describe an increasing variety of new problems. Some of those problems have been around for decades but are now more difficult to manage due to the versatility of AI-based tools and applications. One of those ongoing challenges is shadow IT with a new class of problems classified as shadow AI.

Cyberattacks are becoming more advanced, and groups like Scattered Spider are leading the way with their sophisticated techniques. This group is notorious for using social engineering methods like SIM swapping, voice phishing, and SMS phishing to trick employees into giving them access to sensitive systems. By pretending to be IT administrators, they bypass traditional security defenses, moving through networks unnoticed and stealing valuable data.

In today’s complex threat landscape, MSPs must safeguard their clients’ endpoints, including laptops, desktops, tablets, and mobile devices, from cyberattacks. Prioritizing endpoint protection is essential to shield clients from the relentless evolution of malware, viruses, ransomware, and other threats.

While working on Amazon Bedrock APIs and developing detection mechanisms for Sysdig customers, the Sysdig Threat Research Team (TRT) discovered an unusual behavior in the way some of these APIs were logged in CloudTrail. Specifically, failed Bedrock API calls were logged in the same manner as successful calls, without providing any specific error codes. The lack of error information in API responses may hinder detection efforts by generating false positives in CloudTrail logs.