Source: Wiz Blog | RSS feed Author: unknown URL: https://www.wiz.io/blog/the-zero-noise-approach-to-cloud-detection

ONE SENTENCE SUMMARY:

The Zero Noise approach helps organizations reduce cloud detection noise by prioritizing tailored alerts, feedback loops, and comprehensive triaging.

MAIN POINTS:

1. Most companies use major cloud providers, leading to shared vulnerabilities and automated attack techniques.
2. High volumes of generic alerts overwhelm organizations, causing alert fatigue and hindering malicious activity detection.
3. The “Zero Noise” approach focuses on reducing noise by prioritizing attacker-specific, high-fidelity alerts.
4. Tailored detections based on baselines and red teaming improve accuracy and reduce unnecessary alerts.
5. Continuous feedback loops help analyze detection effectiveness, removing or enhancing noisy alerts.
6. SOCs must adopt a “no alert left behind” mentality to address all alerts and prevent future noise.
7. False positives should result in detection removal, logic improvement, or internal practice changes.
8. Real-world application of the methodology reduced noise and detected attacks on financial transaction servers.
9. Removing noisy detections saved SOC hours, while enhanced rules reduced false positives.
10. Eliminating redundant tools like PsExec minimized noise and created effective indicators of compromise.

TAKEAWAYS:

1. Tailored alerts based on attacker behavior significantly reduce noise in cloud detection systems.
2. Continuous feedback loops ensure detections remain effective and manageable over time.
3. Addressing every alert prevents persistent false positives and reduces future alert fatigue.
4. Collaboration across teams helps identify critical assets and refine detection rules.
5. Organizational changes, like banning unnecessary tools, can drastically improve detection fidelity.