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• Multiple advanced pattern analysis and machine learning-based malware prevention

Using mathematical models can be used as an addition or alternative to signatures for malware
identification and blocking. Purely signature-based approaches for malware prevention are
ineffective against advanced and targeted attacks.

• User and entity behavioral analytics (UEBA)

This can enable broad-scope security analytics, much like security information and event
management (SIEM) enables broad-scope security monitoring. UEBA provides user-centric
analytics around user behavior and event correlation. This type of correlation makes the results
of security analytics more accurate and threat detection more effective.

By understanding and getting to grips with these three key areas of concern within the public
cloud, companies can put themselves in the best possible position to secure their data.

And – in spite of the fact that public cloud may suit certain customers for various IT return on
investment and performance reasons – many, especially regulated enterprises and public sector
customers worldwide, will continue to use either private or hybrid cloud for their mission-critical
workloads.

About the Author

Dr Konstantin Malkov is a recognized specialist in mathematical
modelling applied to network security and machine learning. His current
focus is on migration, management, and security/compliance within the
Microsoft Virtualization Platform.

Since 1992 Dr Malkov has managed and overseen dozens of software
projects in cloud computing, virtualization, business analytics, and
Messaging/Secure Document delivery across the United States, Europe
and Russia. He is currently Chief Technology Officer and Director of 5nine Software. Previously
he was a CTO of PWI Inc., privacyware.com and ITS that was acquired in 2007 by ORCC in a
multi-million dollar transaction. He is also a co-founder of the Department of Non-linear Dynamic
Analysis and the I&C Laboratory at Moscow State University, as well as a former Professor of
Applied Mathematics and Computer Science at Moscow State University.

Dr Malkov has authored more than 50 scientific articles and two books on differential equations,
numerical analysis, control theory, seismological inverse problems, mathematical methods in
economics, and artificial intelligence.

7 Cyber Warnings E-Magazine January 2017 Edition
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