Discovery and Exploration

AI is the future of cybersecurity – How Watson helps detect threats faster and better protect your organization

Share this post:

Key Points:

  • More than 80% of the world’s data is untapped by traditional systems. In the cybersecurity industry, not having data, the complete context, and a real-time view of threats puts an organization at risk.
  • Any one missed threat can result in a costly disaster. Cybersecurity Ventures estimates global ransomware attacks will exceed $5 billion in damages this year, up from $325 million in 2015.
  • For the first time, AI and cognitive intelligence is being used to transform the cybersecurity industry and help analysts identity threats more accurately and resolve them faster than ever before.
  • Some Watson clients have seen 50% faster threat analysis times with  QRadar Advisor

 

If you knew how to better protect your organization why wouldn’t you?

 Artificial intelligence is touching just about every aspect of our lives making cars safer, connecting devices in our homes, changing the way brand marketers engage us with their latest campaigns, and personalizing the latest medical treatments and protocols to improve care.

Now, cognitive technology is being used in the cybersecurity industry to fend off hackers tackling two challenges simultaneously:

  1. There’s an unprecedented amount of information available about threats ranging from thousands of blogs to cybersecurity journal articles, news stories, research papers and more. Yet, most computers can’t automatically access this type of unstructured content requiring security analysts to spends hours culling through online content manually.
  2. There are not nearly enough cybersecurity analysts to identify threats and resolve exploits quickly. In 2017, 45% of businesses say they have a “problematic shortage” of cybersecurity skills. In 2016,  46% had the same concern, but these last two years represent a huge increase in this critical skills shortage.

According to Cyberseek, a project managed by the U.S. Department of Commerce to measure cybersecurity talent demands, there are almost 350,000 open cybersecurity jobs available at the time we published this article. Cybersecurity analyst is among the most advertised position online.

Finding a needle in the haystack, in real-time

Every day, security analysts look at an ocean of events gathered from log files. Their job is to identify security threats and determine which events warrant further investigation. A dearth of skilled analysts, combined with an overwhelming array of data from blogs and research papers, makes it difficult to put security events in context. Gone unchecked, any one event could lead to a much larger security incident and spell disaster for an organization, allowing attackers to gain control of its infrastructure, steal sensitive data and damage the brand’s reputation.

For instance, on average a security analyst reviews 10-20 high-risk security incidents in a day. Of these threats only a few may be an actual threat that needs to be escalated for resolution while, the most others are non-malicious. But this job can take hours and the research and identification of threats delays the analysts ability to quickly eliminate the threat.

Now, cybersecurity analysts can delegate the tedious and time-consuming task of threat research to AI technology powered by IBM Watson. IBM has integrated Watson Discovery Service with QRadar Advisor for the purposes of augmenting human intelligence to help analysts sort through large volumes of data at speed and scale that no person can match.

Watch this short video to learn more about how this works.

IBM QRadar Advisor with Watson combines insights from structured information (from X-Force) and insights from unstructured data (from IBM Watson Discovery Service) to collate millions of individually logged IT events including breach reports and best practice guidelines. Using its industry knowledge corpus of cybersecurity information, threats that are hidden or go unnoticed by manual investigations are easily uncovered, like finding a need in a haystack, all day, every day.

First cognitive solution for cybersecurity

IBM QRadar Advisor with Watson augments a security analyst’s ability to identify and understand sophisticated threats, by tapping into unstructured data and correlating it with local security offenses. It combines the cognitive capabilities of Watson and the industry leading QRadar Security Analytics Platform to uncover hidden threats and automate insights, revolutionizing the way security analysts work.

AI is still a new cybersecurity technology for many organizations. But in today’s world of increasing threats and breaches, without AI, organizations are in a reactive mode and struggling to get ahead of the cyber threat curve. Reducing security incident response times is critical to winning the battle against cybersecurity threats and giving your company a competitive advantage.

Learn more about Watson Discovery Service and what it can do for your organization.

 

Explore how Watson Discovery Service can help supercharge your business.

 

Add Comment
No Comments

Leave a Reply

Your email address will not be published.Required fields are marked *

More Discovery and Exploration Stories
November 20, 2017

How fund managers can apply AI to turn data into insights, reduce bias in decisions and generate alpha

In this age of rampant data growth, the only way to reliably beat the market on a risk-adjusted basis is to mine unstructured data faster and more accurately than competitors. Companies that combine AI, and machine learning with speed, accuracy, nuance and contextual awareness will change the game of managing and growing investments.

Continue reading

November 7, 2017

Empower every employee to be your best employee

The average knowledge worker spends between 20 - 30% of their day looking for information. Issues with accessing your business-critical data might be the result of information silos, disconnected apps and cloud storage that keep the data out of reach for employees who need it. The solution is an insight engine that can understand, reason, learn and interact, like humans.

Continue reading

September 21, 2017

Why Watson? More accuracy. Less training time. Insanely better CX results

Nearly 80% of contact centers say their current customer service systems won’t meet their future needs. Learn how Max Kelsen is using AI to shine a light on customers’ dark data to help them realize greater value from their entire data berg, not just the tip, creating custom knowledge domains 66% faster and with 97% accuracy.

Continue reading