Five Takeaways from Vanson Bourne & Juniper Networks Cybersecurity Market Research - Seceon
                     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 today’s 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. Seceon’s 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
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 wil l 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
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 isn’t 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:
Visibility
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)
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 
Seceon’s 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 - [email protected]
Website - https://www.seceon.com/