Blue Hexagon Expands Deep Learning-Based Network Threat Protection Solution with Comprehensive File and Platform Support

Network threat protection solution adds inspection of Java, Flash,
JavaScript, and VBS—files commonly used to distribute malware; now also
supports Linux, MAC, BSD and Android platforms

SUNNYVALE, Calif.–(BUSINESS WIRE)–lt;a href=”https://twitter.com/hashtag/AI?src=hash” target=”_blank”gt;#AIlt;/agt;–Blue
Hexagon, a deep learning innovator focused on protecting enterprises
from cyberthreats, today announced expanded file type and platform
support that achieves parity with leading sandbox vendors without
suffering from their inherent weaknesses, such as speed of analysis,
sandbox evasion techniques, or file size limitations.

With this product release, Blue Hexagon expands network threat
protection to a comprehensive set of file types—including EXE, PDF,
Microsoft Office documents, Java, Flash, JavaScript, and VBS—that are
commonly used to distribute malware. Blue Hexagon also protects against
modern threats on Linux, Mac, BSD and Android platforms.

Blue Hexagon launched its real-time deep learning platform for network
threat protection in February 2019, demonstrating almost 100%
detection rates against daily threat samples, including zero-day
variants. The platform detects threats in less than a second, then
orchestrates prevention on firewalls, endpoints and switches.

“Our deep learning-based network threat protection already supports
popular file types such as PDF, EXE and Microsoft Office documents, and
now extends support to a comprehensive set of file types that threat
actors use to distribute malware,” said Saumitra Das, CTO and co-founder
of Blue Hexagon. “Now our customers can secure their organizations using
our deep learning platform as a more effective alternative to
notoriously porous sandboxes.”

“Blue Hexagon Network Threat Protection, harnessing deep learning, is a
critical part of our security strategy, enabling threats to be detected
with a single point of inspection on the network,” says John Shaffer,
CIO of independent investment bank Greenhill and Co. “The speed and
accuracy of Blue Hexagon’s threat detection is unparalleled, ensuring
our firewall and endpoint security can react faster. And now the
additional file and platform support in this release delivers
completeness of threat inspection.”

Unlike other AI-based threat detection platforms, Blue Hexagon uses deep
learning, the most advanced subfield of machine learning, to detect
known and unknown threats in real-time. Threat inference is delivered in
less than a second by inspecting the complete network flow—including
files, C2 communications, and malicious URLs. Deployment works out of
the box, and does not require any baselining.

As a result of this latest update, Blue Hexagon Network Threat
Protection now supports the following comprehensive file and platform
types:

• Cross-platform detection: Windows, Linux, Mac, BSD, Android
• Detections of web-based malware in various file formats: EXE,
  PDF, MS Office, DLL, Java, Adobe Flash, JavaScript, and VBS
• Detection of malicious documents with exploit-based scripts:
  VBA, VB Script, encoded VB script
• Detection of threats in archive files: ZIP, 7z, RAR, and SFX

About Blue Hexagon

Blue Hexagon is a deep learning innovator focused on protecting
organizations from cyberthreats. The company’s real-time, deep learning
platform is proven to detect known and unknown network threats with
speed, efficacy, and coverage that set a new standard for cyber defense.
Blue Hexagon is headquartered in Sunnyvale, CA, and backed by Benchmark
and Altimeter Capital. For more information, visit www.bluehexagon.ai
or follow @bluehexagonai.

Contacts

Mike Spinney
Blue Hexagon
media@bluehexagon.ai