Machine Learning against Cyber Threats

SentinelOne, the cyber threat, machine learning features, endpoint security specialist, is now adding a Deep File Inspection (DFI) engine to its Endpoint Protection platform. The new functionality can identify sophisticated cyber threats as well as prevent their execution, and also performs powerful, real-time static analysis.

With the new DFI Engine, SentinelOne offers the only next-generation endpoint protection that combines advanced static prevention with dynamic behavioral detection - seamlessly on a single platform. The DFI Engine is based on SentinelOne's award-winning machine learning technology and has already earned its endpoint protection platform top marks in various validations by independent testing institutes AV Comparatives and AV-Test. In addition, the platform has been recognized as the first certified antivirus replacement for macOS.

machine learning technology

"Traditional antivirus solutions have long been no match for today's sophisticated and file-based malware, which spreads much faster than new signatures can be created," said Tomer Weingarten, CEO of SentinelOne. "With the SentinelOne Endpoint Protection platform, organizations are not only able to strengthen their defenses against known and unknown malware - all without performance-hogging scans and signature updates - but they are also able to improve their overall protection against attacks from any direction while streamlining the management of their endpoint security."

By combining powerful machine learning technology and research, IT and security managers can now benefit from SentinelOne's multi-layered approach to protection. This enables file-based malware to be detected and defended against before it executes and independently of signatures.

DFI Engine's signatureless static prevention is supported on Windows, macOS and Linux endpoints.

www.sentinelone.com