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Repo: github.com/Kajal-Dhanjal/sentinel-detection-lab Five detections in, every one of them pointed at a fairly traditional attacker: brute force, malicious PowerShell, registry persistence, recon, an

Repo: github.com/Kajal-Dhanjal/sentinel-detection-lab Part 6 caught AI tooling launching. The natural next question was what happens once it's running—specifically, where does it talk to? This is the

https://github.com/Kajal-Dhanjal/sentinel-detection-lab Part 4 ended on this note: moving off the endpoint entirely and into identity, starting with attackers registering their own MFA methods on com

Part 3 of a series on building a detection engineering lab in Microsoft Sentinel. This post: registry persistence, a textbook false positive, and the single most important lesson in detection engineer

Part 2 of a series on building a detection engineering lab in Microsoft Sentinel. This post: hunting malicious PowerShell with Sysmon, and the difference between volume detections and signature detect

Redis Sentinel is like the unsung hero in the world of Redis deployments. It's all about keeping your Redis instances running smoothly with high availability. But when you throw NestJS and RedisX into the mix, things get even more interesting. Let's ...
