The new Cohesity Helios app for iOS and Android allows administrators to monitor the health and performance of Cohesity infrastructure, manage support cases, and be alerted to anomalies such as possible ransomware attacks.
The app takes advantage of the machine learning-based anomaly detection built into the Helios SaaS platform. Alerts are generated when the primary data-change rate exceeds normal levels, as that can be an indication of unwanted data encryption activity.
Such anomalies can be in terms of the daily change rate on logical or stored data, data ingestion rates, or the entropy (randomness) of data.
The Cohesity platform provides immutable snapshots (ie, they cannot be modified), as well as write-once read-mostly (WORM) storage, multi-factor authentication, and the ability to quickly restore production environments at scale.
"In today's always-on business environment, companies need the ability to respond quickly to critical data issues at any time, from any location," said Cohesity senior vice president of products and engineering Vineet Abraham.
"Cybercriminals don't just work during office hours and having a way to monitor the health of your data clusters from a mobile device 24 hours a day, seven days a week, and receive notifications that could uncover a ransomware attack in action, could save your organisation millions of dollars and keep brand reputations intact."
Other capabilities of the app include reporting the overall health of a cluster, the available storage capacity, software versions, IOPS rate, and all active alerts from the last 24 hours.
"The Cohesity Helios mobile app makes it simple and easy to check the status of my data clusters from my smartphone. I can quickly find out if all my overnight protection jobs ran successfully while I'm having my morning coffee and get alerts anytime, anywhere if we have any anomalies," said Dolby Laboratories senior manager and infrastructure architect Michael Graff.
"It is a great extension of the power of the Cohesity Helios data management global dashboard."