Five Takeaways from Vanson Bourne & Juniper Networks Cybersecurity Market Research

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Five Takeaways from Vanson Bourne Juniper
Networks Cybersecurity Market Research by
Pushpendra Mishra
Posted by Sunil K. Kotagiri Cybersecurity has
become a key issue impacting strategic decisions
at the highest level within organizations. The
increasing sophistication of todays threat
landscape and growing number of high-pro le
breaches have impacted businesses of all sizes
struggling to protect their most important
assets data, reputation and people. Juniper
Networks in association with Vanson Bourne
recently conducted a comprehensive study to
identify, assess and investigate the top
cybersecurity threats that enterprises are
experiencing. They looked at how these threats
and pain points are changing or predicted to
change in immediate future, and how AI and
machine learning are helping enterprises protect
themselves from constantly changing
adversaries. Please click here to view the
complete report. As this research paper
correctly stated, cybersecurity is tumulus. In
fact, the only element of this landscape that is
stable, is that it is unstable, unpredictable and
ever changing. De ning and describing this new
form of crime is relatively easy, but preventing
it is a completely different game. I would like
to highlight a few very critical ndings of this
research that are worth further discussion and
consideration Only 31 of respondents believe
that the cybersecurity solutions used within
their organization have done exactly what they
promised to do when they were purchased.
Approaching nine-in-ten (86) believe that if
their organization were to use and end-to-end
solution they would be much more secure.
These two ndings are spot on. Seceons experience
working with hundreds of enterprises big and
small, across multiple verticals, demonstrates
that the biggest challenge security teams face
today is having to deal with the sheer volume of
alerts from multiple siloed solutions security
solutions that are deployed to address singular
needs. SILO solutions lack global
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Five Takeaways from Vanson Bourne Juniper
Networks Cybersecurity Market Research -
Seceon context, which causes a high volume of
alerts without appropriate priority assigned. As
an example, a Firewall or IDS may report
download of a le with malicious signature, but it
may not know if the execution of that malware
has been prevented by End Point Protection
software. Whereas, an intelligent end-to-end
system will have necessary global context
required to correlate these two pieces of
information, hence eliminating the need to raise
an alert, and resulting in reduced false
positives and improved effectiveness of security
teams. Spending on user behavior analytics is
forecast to increase substantially (30 growth).
On average, 469,449 was spent over the past
three years, whereas predicted spending is set to
reach 647,309 over the next three
years. Approaching nine-in-ten (87) agree that
cybersecurity tools with AI/machine learning
capabilities would be of great bene t to their
organizations.
At present, there are more than 800 million known
malware signatures. Out of those, more than 100M
signatures were discovered and added in the last
year alone. That is 350K new malware and
Potentially Unwanted Applications (PUA)
discovered every day an absolutely staggering
number. What this means is, it is impossible for
your IDS, IPS and End Point Protection agents
that rely on these signatures to keep up with new
malware. Machine learning and behavioral
analytics-driven threat detection are extremely
critical to be able to combat against these
zero-second threats. Similarly, approximately
40 of threats are due to malicious insiders. How
do you identify these malicious insiders,
especially those who know the rules and
thresholds that trigger alerts in the
traditional SIEM systems? When correctly
implemented with strong feature engineering,
machine learning and arti cial intelligence-driven
correlations that adapt to changing human
behavior can detect and alert security teams
about malicious insiders with very low false
positive rate. Over eight-in-ten (82)
respondents believe that their organization would
be extremely willing or somewhat interested
in relinquishing control of cybersecurity to
AI/machine learning technologies.
This nding is somewhat surprising, but
extremely gratifying. At last, the industry is
starting to recognize that it is impossible for
security analysts to handle nearly 10,000 alerts
per day. (That is the number a typical Fortune
500 Enterprise security team has to handle every
day.) Also, industry statistics demonstrate that
security teams are equipped to handle only 1 of
those 10,000 alerts this is because, on average,
one has to analyze 672 log instances per
incident and analyzing each log instance takes
about 1.5 minutes. In total, it takes 16.8
person- hours to analyze each incident.
Considering these 2 factors, it is clear that
humans alone cannot handle the sheer volume of
alerts generated by solutions today. They have to
be augmented by machine learning and AI-driven
cybersecurity solutions to automate mundane
human analysis. This frees security analysts to
focus on the most important tasks that only
humans can perform. These are real challenges
today and it is so important to address them
immediately as the threat landscape is
increasing rapidly. In this noisy space with new
entrants, old vendors massaging their product
lines and score of analysts providing their views
on how companies must build their security
posture, the end buyer naturally gets confused.
Inherent human nature is that when in confusion
or doubt, the decision-making slows down. But,
not to forget, there are signicant costs due to
this delay. In my opinion, it boils down to a
simple
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Five Takeaways from Vanson Bourne Juniper
Networks Cybersecurity Market Research -
Seceon question from the end buyer, Are there
any vendors today that provide comprehensive end-
to-end security using the User Behavior
analytics and cutting-edge Machine Learning/AI
technologies or we still need to invest in silo
solutions to build a security posture? From
inception, Seceon has recognized that
cybersecurity isnt just a technology problem,
but a human problem. There are not enough people
with security skills and attack experience to
properly identify, analyze and act on the high
volume and dynamic nature of new-age threats.
Our innovative machine learning and AI-driven
aiSIEM and aiMSSP solutions, which feature
intelligent correlations with contextual
awareness to prioritize the alerts, have been
recognized for their innovative approach and won
more than 50 industry awards. Seceon solutions
not only detect the threats that matter, but
will stop them before they cause irreparable
damage to the organization. Here are some
salient features of our aiSIEM solution Visibili
ty Ingests raw streaming data (Identity, Web,
Apps, Firewall, Proxy, Windows, DNS and DHCP)
and Flows (NetFlow, S ow and J ow). Logically
auto-discovers and creates asset groups.
Threat Detection Machine learning and AI with
actionable intelligence eliminating the need to
add rules. Behavioral analytics, predictive
modeling and contextual real-time alerts with
automated analysis and correlation.
Threat Containment and Elimination Out-of-the-box
automated threat containment and elimination in
real-time. Provides clear actionable steps to
eliminate threats which can be fully automated.
Compliance, Indexing and Reporting Regulatory
comliance (HIPAA, PCI, NIST, GDPR) assurance and
customizable operational reports. Log indexing,
long-term storage and data analytics for forensic
analysis.
Operations Management Microservice architecture
facilitates rapid reployment across cloud,
on-premise or hybrid. Simplied licensing based
on the number of assets (versus that amount of
data ingested)
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To learn how Seceon aiSIEM and aiMSSP solutions
can help you to protect your organization from
sophisticated targeted and strategic attacks,
please visit www.seceon.com or request a
demo. Sunil is a lifelong technologist,
architect, and hands-on executive and handled
every role in the software engineering lifecycle
in Technology Company at some point. As a
Co-Founder, Sunil oversees the architecture,
development, and delivery of Seceons most
advanced comprehensive cybersecurity platform
based on cutting edge Big/Fast Data Architectures
and Machine Learning (ML) and Arti cial
Intelligence (AI). Sunil brings technical
leadership with over two decades of experience
in software development and methodologies,
architecting and delivering complex
Cybersecurity, Big Data Analytics (Time series
Real-time), Business Intelligence,
highly-scalable distributed Web, Mobile and
Mission Critical Apps for Enterprise, Mobile,
Telecom, and Cable markets. He is the author of
multiple patents for the Cybersecurity, Service
De nition and Orchestration platforms and holds a
BS in Electronics and Communications and MS in
Computer Science from the Indian Institute of
Technology (IIT), Madras. Sunil presently lives
in Boston and enjoys reading, running and
spending time with family.
Address - 238 Littleton Road Suite 206 Westford,
MA 01886 Phone no - 1 (978)-923-0040 Email Id
- sales_at_seceon.com Website - https//www.seceon.c
om/