cfo-as logo
Story image

Big data and machine learning make compelling argument for security

26 Apr 2017

Big data and machine learning are increasingly being applied to the cybersecurity arena - and according to the Ponemon institute, organisations that use big data analytics are more than twice as likely to identify a security incident within hours or minutes of the breach.

Trend Micro elaborates on those statistics, saying that while big data has its challenges, machine learning in security may make the process simpler.

The company believes that any industry can use big data for security. According to a report by Cloudera and MeriTalk, 90% of surveyed IT managers said they were able to use big data to decrease the number of cyber threats. 

However, nearly half of those surveyed thought there was too much cybersecurity data to deal with, and they could not analyse it all in a ‘timely manner’. This could impact the amount of visibility in their security infrastructure.

Trend Micro believes that machine learning could potentially help to deal with the massive amount of information.

“Through pairing big data with machine learning tools, it can benefit businesses in detecting problems and quickly mitigating them to minimise potential damage,” Trend Micro says.

It can help to quickly scan data to show historical patterns of negative behaviours, leverage processes that can detect a breach while it’s happening - and from multiple sources, and it can also analyse structured and unstructured information to find image and prevent security damage.

By pooling information from multiple sources, there may be less chance of a breach: “By uniting these tools, organisations can successfully thwart attacks and decrease the chance of experiencing breaches. Assimilated data might be enough to identify a pattern of breaches."

It does come with downsides, however, as there is no way to predict exactly when a breach will appear - yet.  Trend Micro says that organisations should use multiple big data and machine learning processes to detect and prevent against attacks. 

“Cyber security is a challenge for many organisations due to constantly advancing threats. By pairing big data with machine learning tools, businesses will be able to detect issues as they occur and quickly mitigate them to minimise potential damage,” Trend Micro says.

Link image
<span class="coloured">Unleash the intelligent way to automate at Pega Discover – Intelligent Automation</span>
Find out how the world’s largest brands are accelerating business and simplifying systems in this two-hour, interactive virtual event. By the end you’ll be primed to start getting business done smarter and faster while scaling toward your biggest business goals. Register Now.More
Story image
Chainstack adds further support for blockchain implementation and management
Chainstack has launched new service enhancements, support for its blockchain services platform, and a new marketplace to aid businesses looking to improve their management of decentralised applications.More
Story image
Gartner: Security leaders must balance risk, trust and opportunity
Security and risk leaders must focus on balancing risk, trust and opportunity to help maintain the ability of their organisations to function.More
Story image
Seagate rolls out 18TB helium-based Exos-X18 enterprise drives
Seagate is now shipping the 18 terabyte (TB) helium-based enterprise drive, which is a new additions to Seagate’s Exos-X18 family.More
Story image
Fintech innovation set to play huge role in cloud computing market, study finds
"The integration of cloud computing into banking solutions is anticipated to play a crucial role in transforming the banking sector in the forthcoming years.”More
Story image
Beyond Limits hits $133 million in Series C investment round
The company, which focuses on demanding sectors such as energy, utilities and healthcare, says the investment will help to drive the global expansion of AI technology. More