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Machine learning and behavioral analysis security technologies are now being applied to
endpoint security, web application security, intrusion detection, and database security.

DB Networks DBN-6300 is an example of machine learning and behavioral analysis technology
applied to the database tier.

Machine learning in combination with behavioral analysis is able to immediately identify
database attacks and compromised credentials without the use any predefined rules or
signature files whatsoever.


Field experience has proven these technologies to be highly effective, without generating false
positives, and, importantly, requiring minimal operation support.

As deployments of machine learning and behavioral analysis-based IT security occur across the
IT infrastructure, these smart security systems will eventually be integrated into a unified
architecture providing full-spectrum autonomous cybersecurity.

At that point the information security skills shortage will be essentially solved. Information
security personnel will finally be to apply their skills to architecting secure systems rather than
chasing false alerts and devising signature files based on the last week’s threat intelligence.



About the Author

Michael Sabo, VP Marketing for DB Networks:
Michael leads the market research, positioning, communications,
and promotions for DB Networks. Michael’s extensive background
in marketing, strategic planning, and product engineering was
gained from his tenure at Intel Corporation, US West (now
CenturyLink), and Contel (now Verizon) as well as start-ups
AirFiber and Rhythms NetConnections.

In 1995 while at US West, he developed and launched !NTERACT
Internet Security as an earliest example of a cloud-based Managed
Security Service Providers (MSSP) service.

Michael earned a B.S. in Computer Science from Wright State University and Masters degree
from the University of Denver.












6 Cyber Warnings E-Magazine – May 2016 Edition
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