Malware attacks are becoming more sophisticated, and as business processes continue to move to the cloud, organizations need to improve their defenses to protect against them.
SentinelOne announces the launch of its Cloud Data Security product line and the general availability of the first two products: Threat Detection for Amazon S3 and Threat Detection for NetApp. These products are designed to help companies using Amazon S3 object storage and NetApp file storage to detect and prevent the spread of malware in their cloud environments and corporate networks.
The new offerings are part of the Singularity Cloud product family and complement the existing Cloud Workload Security product line. It enables customers to detect, investigate, and automatically remediate threats on their servers and containers across their public cloud, private cloud, and hybrid cloud environments.
A contemporary approach to dealing with modern threats
Both cloud object storage and network-attached storage devices contain large amounts of business-critical data that it is imperative to protect. However, given the number of files and objects that often number in the millions or billions, the stringent latency and performance storage requirements associated with operational workloads, and the continuous evolution of malware, this is not easy to accomplish.
“Files can come from a variety of sources, including employee, customer, partner, and supplier data. Modern cyberattacks easily bypass popular security solutions,” said Ely Kahn, vice president of product management, cloud security and AI/ML at SentinelOne. "Our latest solutions take an equally modern approach to ensuring cloud storage and workloads remain malware-free."
Simplified cloud security
Threat Detection for NetApp and Amazon S3 is powered by industry-leading threat detection technology deployed by SentinelOne on tens of millions of endpoints. Every file added to NetApp and every object added to Amazon S3 can be automatically scanned for file-based and zero-day malware. When a malicious file is detected, SentinelOne automatically cleans it and moves it to isolated areas. This keeps buckets clean and users protected.
"As our company continues to adopt cloud-based storage solutions, maintaining the security of the data stored in S3 buckets has become a top concern," said Deno Morgan, senior director of information security at recruitment platform JobTarget. "By combining cutting-edge technology, automation, and real-time malware scanning with AWS S3 scanning, our IT and business teams can focus more on strategic tasks while strengthening the security of our systems."
Essential Features
Key capabilities of the Threat Detection for NetApp and Amazon S3 products include:
- scanning is local; Files or objects do not leave the customer's environment
- Uses advanced machine learning engines to detect known and unknown malware
- Configurable policy-based coverage and automated response capabilities
Manage endpoints, cloud workloads, identities, and cloud data security products from a single console - Performance-engineered, auto-scaling to support the most demanding environments
- Access to threat metadata, including malware sources
- Retrieval of files with quarantined and encrypted threats
- File isolation and un-isolation
- Ability to use file exclusions and user block lists
- Verification and certification by NetApp and AWS
About SentinelOne
SentinelOne provides autonomous endpoint protection through a single agent that successfully prevents, detects, and responds to attacks across all major vectors. Designed to be extremely easy to use, the Singularity platform saves customers time by using AI to automatically remediate threats in real-time for both on-premises and cloud environments.
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