Cloud-native environments face significant security challenges due to their rapid deployment and distributed nature, making them attractive targets for attackers. The use of AI in security, while beneficial, can also produce overwhelming amounts of security findings. Effective threat detection and runtime visibility are essential for maintaining secure environments. Dynatrace offers capabilities to quickly and automatically detect and respond to threats, enhancing the mean time to respond (MTTR) and detection efficacy. By using the Dynatrace Query Language (DQL), security teams can uncover active threats by integrating various data sources such as logs and runtime context. The blog details how to detect suspicious behavior, like unauthorized access attempts in Kubernetes environments, using Dynatrace's Security Investigator tool. This approach involves building detection queries that can be iteratively refined and enriched with contextual information from Kubernetes audit logs, vulnerability data, and compliance findings, thereby creating high-fidelity alerts. Future articles promise more insights into handling and responding to detected threats effectively.