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Rohde & Schwarz Cybersecurity and Saint Security fight virus and malware with artificial intelligence-based advanced threat protection solution

November 2017 by Marc Jacob

Rohde & Schwarz
Cybersecurity and Saint Security announce the release of a technology solution that
leverages artificial intelligence, machine learning and big data-based profiling
methodologies to fight advanced persistent threats (APTs).

The solution identifies and blocks various types of malware that cannot be detected
by off-the-shelf security solutions. The DPI engine R&S PACE 2 serves as the key
enabling feature by extracting file content and metadata to identify potentially
dangerous executables caused by APTs.

Saint Security’s network protection solution intercepts possible APTs at any point
in a network. In order to fingerprint malicious activity and to unlock the full
potential of their AI-based analysis methodologies, they decided to embed the DPI
engine R&S PACE 2 from Rohde & Schwarz Cybersecurity to get a deep understanding of
the observed network traffic.

R&S PACE 2 extracts file content and metadata such as files attached to emails (e.g.
.pdf, .exe or .doc) or sent through files transfers from within the traffic in real
time. This enables Saint Security to identify potentially dangerous executables
caused by APTs and set up advanced security and traffic management policies.

Machine learning and AI are critical to network security as cybercriminals around
the world incessantly release new malware types that can morph and look like
harmless files. It is almost impossible for antivirus engines to detect these
threats as they can bypass legacy security approaches, gain hold within a network
and make organizations vulnerable to data breaches.


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