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understanding and quick action to address the root cause. Such actionable intelligence
must reduce the skill set required to address the threat. Moreover, in a highly developed
system, it must eliminate the need to engage a human, offering the intelligence just-in-
time to prevent any further damage, reducing the time it takes for a corrective action or
a good combination of all to minimize the operational cost while setting the organization
ahead of the attacker’s plans.

Inherently, such an actionable intelligence must instill confidence in the user in
preventing future attacks by learning from the attack and the response behavior. The
real-time actionable intelligence should not only help in quick analysis, but should also
help the organization learn from the intelligence much more rapidly and thoroughly so
as to develop a better defense against not-yet-seen attacks as well.

We operate in an era where such systems are now in development with enterprising
startups and vendors and are available in its early form. The advent of big-data
platforms and related technologies are making this all possible. These systems are
expected to dominate the cyber defense efforts of many of the elite organizations
around the world and will be writing the next chapter in the forefront of cybersecurity.
Genevieve Bell, Senior Fellow Vice President, Corporate Strategy Office, Corporate
Sensing and Insights of Intel said in one of her recent presentations, “AI is the next big
wave in computing. Like major transformations before it, AI is poised to usher in a better
world.” The signs are all around to take us there.

About the Author
Smit Kadakia, Co-founder, Seceon
Smit leads Seceon’s data science and machine learning team, focused
on developing a state of the art behavior anomaly detection solution.
Smit holds a B.S from VJTI, Mumbai; an MS in Computer Science from
Indian Statistical Institute, Kolkata; and an MBA from Southern New
Hampshire University, Manchester. Smit and the team at Seceon have built the
industry’s first and only fully-automated threat detection and remediation system using a
combination of machine learning and artificial intelligence techniques.

Seceon’s approach includes analysis of all traffic, flows and processes in and out of the
network and correlates them near-simultaneously with behavioral analytics, recognized
and zero-day exploits and policies to surface threats and proposed responses in near-
record real-time. To learn more visit http://www.seceon.com.

53 Cyber Warnings E-Magazine – April 2017 Edition
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