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CloudIQ uses machine learning and predictive analytics to identify any anomalies.
The following figure shows an example of CloudIQ latency anomaly detection.
Ransomware attacks are typically encoded user data using asymmetrical encryption. Since encrypted data is nonreducible, PowerMax systems can use CloudIQ to monitor and analyze data reduction data in near real time. Increases in the amount of unreducible data can represent suspicious activity or a potential ransomware threat. Proactive alerts can be set to notify users of the increased unreducible data that could represent data being encrypted, which would provide early detection that could minimize exposure.
The following figure shows an example of CloudIQ data reduction anomaly detection.