Don’t Fight Fair
Cybersecurity is a street brawl with no rules. If the bad guys don’t fight fair, why should you? Deploy a real-time deep learning platform to stop all known and unknown network threats in subseconds.
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.
Four new malware specimens will emerge on the internet every second. Compromise happens in seconds.
Signature creation cannot keep up with malware variants
Sandboxes have delays, can be evaded and have file-size limitations
Anomaly detection requires baselining and delivers too many false positives
For the past ten years, we've relied on signature and sandbox-based malware detection systems that are no longer effective against automated attacks.
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. In one user, it began to send Spam email from the infected user.