SentinelOne is releasing a new product line to protect data in the cloud from malware.
In the new Cloud Data Security product line, threat detection for Amazon S3 and NetApp are the first to appear. This detection tool can detect malware in various forms, such as crypto miners, spyware and adware.
Those first two products protect companies in different places. Both in cloud environments, and in their corporate network. That is where data is stored that is essential to business operations. Protecting this is not always easy, because it involves a huge amount of data.
In Amazon S3, that data comes from customers, vendors, partners and other applications. Everything is stored in “buckets,” which take measures against misconfigurations, but not against malware.
Also read: AWS adds default encryption to Amazon S3
With NetApp’s All-Flash Arrays, there are also a large number of parties who have access. Unlike AWS, however, there is hardware associated with NetApp’s solution. SentinelOne promises that its tool is thus suitable for physical and fully digital environments.
Machine learning protects against unknown enemy
The Cloud Data Security product line includes technology that scans each new file for malware. This is done locally, so the file never leaves the corporate environment. If the detection tool catches something suspicious, that file is immediately isolated to eliminate further opportunities for spread. As a user, you get a report with the metadata and malware source as soon as a file is isolated.
The detection tool also includes a layer of machine-learning capabilities. That gives the tool the ability to even filter unknown malware from the files. That is done with machine learning, which allows the tool to refine and further develop itself.
Moreover, the detection tool scales automatically. Once your data environment begins to grow, for example, by relying more on AI tools, SentinelOne’s solution simply scales with it.