Cloud Detection and Response (CDR) Software Resources

If you are searching for platforms that help reduce false positives in cloud detection, reviews on G2’s Cloud Detection and Response category point to several tools that emphasize smarter alerts, context, and automated triage. These five stood out for how they approach the challenge:

1.  Wiz: It prioritizes cloud risks based on context, so not every vulnerability triggers an alert. Did its prioritization actually reduce false positives in your workflows?
2. Arctic Wolf: It combines managed detection with human oversight, filtering out unnecessary noise before alerts reach your team. Did this hybrid approach save your SOC time, or did you still experience alert fatigue?
3. Orca Security – It uses an agentless model to correlate risks across workloads and cloud accounts. Did this correlation help highlight only the critical alerts, or did too much detail still slip through?
4. Microsoft Defender for Cloud – It ties alerts to Azure-native intelligence and integrates signals across workloads. Did you find its built-in context useful in reducing false positives, especially in hybrid or multi-cloud environments?
5. Sysdig Secure – It focuses on runtime detection and policies to flag only relevant activity in containers and Kubernetes. Did its focus on runtime context help your team avoid chasing unnecessary alerts?

To G2:

1. Which platform worked best for cutting down false positives in your cloud detection efforts?
2. How did it impact your response times and overall ROI?

As more organizations rely on SIEM systems for centralized visibility, the real question becomes how well CDR platforms plug into them. A good CDR-to-SIEM integration should streamline alerting, reduce noise, and provide richer context on cloud threats. While reviewing G2’s Cloud Detection and Response category, I came across three platforms that stood out:

1. Wiz—I was drawn to how Wiz maps cloud risks and feeds them into monitoring workflows. But when paired with SIEM, do its findings provide actionable clarity or just add to alert fatigue?
2. Arctic Wolf—What I found interesting is its managed detection and response model, which promises to handle much of the heavy lifting. Did its integration with SIEM actually reduce the workload for internal SOC teams or create overlap?
3. Orca Security – I noticed its agentless approach provides deep cloud visibility across workloads. But did that level of detail integrate smoothly into SIEM dashboards, or overwhelm them with too much data?

To the G2 community:

1. Which of these CDR platforms worked best when integrated with your SIEM?
2. Did it improve incident response efficiency, or introduce new complexity during adoption?

Hi, Can you please tell me which public cloud providers you support thanks