We just launched Industry’s FIRST Real-Time Deep Learning Platform
Blue Hexagon not only uses deep learning, the most advanced subfield of machine learning, to detect network threats… but we do it in real-time.
The Problem
The Threat Landscape Continues to Evolve
More than 300,000 malware variants are produced each day. That’s 231 new malware per minute, 4 every single second.
350,000
NEW malware samples created per day.
Signature
Based IPs
Signature creation cannot keep up with malware variants
Malware
Sandboxing
Sandboxes have delays, can be evaded and have file-size limitations
Existing Solutions Can't Keep Up
For the past ten years, we've relied on signature and sandbox-based malware detection systems that are no longer effective against these automated attacks.
The Solution
Industry's first real-time deep learning platform
for network threat protection.
.01
Identifies malware within subseconds, even zero days seen for the first time.
.02
No sandboxes.
No signatures.
No anomaly detection.
.03
Completely
automated through
deep learning.
No baselining or tuning required.
.04
Automate prevention on endpoint or network devices (firewall, web proxies, routers).
True Zero Day Attack Prevention
Combining HexNet™, our proprietary set of deep learning neural nets, with our pre-trained AI threat models, our real-time deep learning platform can detect known and unknown network threats in milliseconds. Unlike IPS and sandboxes with detection shortcomings and delays, Blue Hexagon delivers efficacy at wire speed without requiring any human triage.
User receives an email with a link to a Word document.
User downloads Word document with Macros. Macros contains code to launch a Powershell command.
The Powershell command fetches the Emotet malware, which gets installed on the user's endpoint.
Emotet reaches out to its command and control, uploads user information and retrieves further instructions from the attacker.
Emotet downloads additional malware, and spreads laterally.
Case Study: Detection of Emotet Zero-Day Malware
Emotet, like other polymorphic malware, is purpose-built to evade existing signature and
sandboxing technologies. Despite that, Blue Hexagon’s deep learning was able to detect
Emotet in subseconds by performing deep learning inspection on every phase of the kill chain below. Our customer chose Blue Hexagon because of our ability to deliver high efficacy verdicts — all without the need for baselining or tuning.