Deep Instinct
multi-layer protection
Time to predict and prevent
0
MILLISECONDS
By D-Brain
Time to Investigate
0
MILLISECONDS
By Deep Classification
Time to Remediate & Contain
0
MINUTE
Using Management Console
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:
HIGHLIGHTS
PRE-EXECUTION:
Prevention
ON-EXECUTION:
Detection & Response
POST EXECUTION:
Automatic Analysis
PRE-EXECUTION:
Prevention
Deep Static Analysis
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.
D-Cloud Services
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.
Script Control
Protects against fileless attacks that are based on scripts, including PowerShell, JavaScript, VBScript, HTML applications and more.
Macro Control
Using the D-Brain, identifies files containing embedded macros and determines whether the macro is malicious or benign.
ON-EXECUTION:
Detection & Response
Behavioral Analysis
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.
POST EXECUTION:
Automatic Analysis
Deep Classification
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.
Remediation
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, Office files, archive files and more.