Cloud Detection Without Drowning: The Zero-Noise Approach

This report advocates a "Zero Noise" approach for cloud threat detection, emphasizing attacker-centric, high-fidelity alerts, structured detection feedback loops, and a strict mandate to investigate every alert to continuously reduce false positives. Through a financial-services case study, it shows how focusing detections on crown-jewel systems, removing overly noisy rules, refining logic with precise exclusions, and banning PsExec for internal use dramatically cut alert fatigue and enabled early detection of fraudulent transaction attempts, allowing SOCs to prioritize real threats.