By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data-driven white label SEO
    Does Data Mining Really Help with White Label SEO?
    7 Min Read
    marketing analytics for hardware vendors
    IT Hardware Startups Turn to Data Analytics for Market Research
    9 Min Read
    big data and digital signage
    The Power of Big Data and Analytics in Digital Signage
    5 Min Read
    data analytics investing
    Data Analytics Boosts ROI of Investment Trusts
    9 Min Read
    football data collection and analytics
    Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Gartner Survey: 98% of Brands Are Negligent with Big Data Security
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Security > Gartner Survey: 98% of Brands Are Negligent with Big Data Security
Big DataITSecurity

Gartner Survey: 98% of Brands Are Negligent with Big Data Security

Sean Mallon
Last updated: 2017/09/08 at 1:28 PM
Sean Mallon
5 Min Read
Big Data Security
SHARE

Big data creates big opportunities for businesses. However, it can also create massive headaches. It has made big data security more challenging than ever. Unfortunately, many brands aren’t taking the new concerns seriously enough.

Contents
Gartner Warns About the State of Big Data SecurityBig Data Also Creates New Security SolutionsBrands Must Be Diligent About Cybersecurity Risks

Gartner Warns About the State of Big Data Security

A 2015 study from Gartner showed that 98% of brands aren’t taking adequate steps to deal with big data security issues. Many organizations aren’t even aware of the multitude of security risks that big data has introduced.

Gartner analyst Merv Adrian and his colleague Nick Heudecker warn that there are a number of reasons these security risks are overlooked. Brands will need to be aware of these problems and take appropriate action in the future.

“Can it be that people believe Hadoop is secure? Because it certainly is not. At every layer of the stack, vulnerabilities exist, and at the level of the data itself there numerous concerns… Less than 5 percent of Hadoop inquiries covered by the Info Mgmt team in 2014 discussed security. This has to change in 2015,” the duo stated.

More Read

data security unveiled

Data Security Unveiled: Protecting Your Information in a Connected World

NIST 800-171 Safeguards Help Non-Federal Networks Handling CUI
Digital Transformation: How To Protect Your Organization From Cyber Risk
Social Engineering Attacks and Other Cybersecurity Threats to Be Aware of in 2023
Vendor Security is Key to Preventing Future Data Breaches

Big Data Also Creates New Security Solutions

More recent papers from Gartner have further highlighted the risks that big data poses. However, the same technology has also opened new doors. Last year, they stated that big data analytics and machine learning will be crucial in the fight against cybersecurity risks.

Gartner warns that manually identifying and diagnosing red flags won’t be sufficient. They need advanced security tools to resolve these problems.

Advanced analytics have been used for fraud detection since the mid-1990s. Credit card providers relied on them more than any organization. However, those analytics tools were in their infancy. New advances in big data have led to the development of far more sophisticated analytics platforms, which are playing an important role in fighting cybersecurity.

However, there are still some limitations that need to be addressed. The biggest problem is that they require a lot of human oversight, so it can be difficult to identify certain security risks without careful scrutiny.

“The solutions available today are generally limited to descriptive and diagnostic analytic capabilities that require manual human intervention. They are unable to effectively respond to the growth in big data, particularly unstructured and hybrid datasets,” writes Gartner’s Christy Pettey.

According to TechTarget, a number of new analytics tools are available for cybersecurity. These include:

  • FalcoVPN. FalcoVPN is a newer generation VPN, which allows businesses to safeguard their data against advanced cybersecurity threats
  • Blue Coat Security Analytics. This security analytics tool can be used as either a virtual machine or a pre-configured appliance. It has a modular base, so customers can customize it with the components they need.
  • EMC RSA Security Analytics NetWitness. This is a two-tier solution that comes with a strong security infrastructure and a modular framework, so customers can easily customize it as needed. It can archive data logs for months, which can be great for businesses that need long-term data on security threats.
  • FireEye Threat Analytics Platform. FireEye Threat Analytics Platform is a cloud-based analytics tool with highly sophisticated data analytics features and filtering tools.

All of these tools have an exceptional track record for organizations in numerous verticals. However, far too many brands ignore the problems that they are facing. Others do not setup their analytics tools properly, which weakens their defenses against future cyberattacks.

Brands Must Be Diligent About Cybersecurity Risks

Cybersecurity problems remain a serious concern for brands in every sector. They must recognize that big data has given hackers more effective weapons and made them larger targets.

Fortunately, there are plenty of great tools available to help companies guard against these threats. They simply need to use them to their fullest potential.

TAGGED: cybersecurity, Cybersecurity Tools, data security
Sean Mallon September 8, 2017
Share This Article
Facebook Twitter Pinterest LinkedIn
Share
By Sean Mallon
Sean is a freelance writer and big data expert with a passion for exploring the depths of information that can be extracted from massive datasets. With years of experience in the field, he has developed a deep understanding of how data can be harnessed to drive insights and make informed decisions.

Follow us on Facebook

Latest News

iot and cloud technology
IoT And Cloud Integration is the Future!
Internet of Things
ai in marketing
4 Ways AI Can Improve Your Marketing Strategy
Artificial Intelligence
data security unveiled
Data Security Unveiled: Protecting Your Information in a Connected World
Security
it management for data-driven businesses
7 Major IT Infrastructure Challenges for Data-Driven Companies
IT

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

data security unveiled
Security

Data Security Unveiled: Protecting Your Information in a Connected World

8 Min Read
data security
Data Management

NIST 800-171 Safeguards Help Non-Federal Networks Handling CUI

5 Min Read
cybersecurity risk and threats
Security

Digital Transformation: How To Protect Your Organization From Cyber Risk

14 Min Read
Cybersecurity Threats
Security

Social Engineering Attacks and Other Cybersecurity Threats to Be Aware of in 2023

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?