Our solution provides full protection that is based on a prediction and prevention first approach, followed by detection and response, with unmatched efficacy against any cyber threat, using
the following multiple layers:
Real-time threat prevention using a lightweight prediction model based on deep learning (D-Brain) that autonomously prevents zero-day and APT cyber threats. Supports the broadest file types in the industry, including executable files (PEs), PDF, fonts, Office files, archive files and more.
Provides a fast and scalable file reputation infrastructure in the cloud (AWS) adding a second layer of validation & protection. The service is optional and can be disabled by policy.
Using the D-Brain, identifies files containing embedded macros and determines whether the macro is malicious or benign.
Provides an additional layer of protection for extended coverage of fileless attacks by monitoring and preventing on-execution malicious behavior, including Ransomware, code injection and shellcode attacks.
Determines the malware family type of PE (Portable Executable) files. After a PE file is scanned by the D-Brain and is detected as malicious, the file is scanned again by the Deep Classification brain providing results in milliseconds. Our classification model categorizes the malware into 7 different types: Ransomware, Backdoor, Dropper, Virus, Worm, Spyware and PUA.
Quarantine files, restore files remotely, delete files remotely, terminate running process, isolate device network – all to mitigate and operate existing threats identified in the environment.