How is Artificial Intelligence (AI) impacting cyber security?

How is Artificial Intelligence (AI) impacting cyber security?
Traditional methods to detect malware and cyber security threats are failing. Cyber
criminals are constantly coming up with new ways to bypass firewalls and become
a threat to an organization’s security. The only way to fight it out is to be more
prepared and smarter than the hackers.
As per 2017 Cybersecurity Trends Report, cyber security budgets are set to increase as security
professionals anticipate more attacks in the next 12 months. It is indicated that organizations
will increase their security spend on cloud infrastructure (33%), training / education (23%) and
mobile devices (23%).
Cyber-attacks are getting more complex and smarter
If you think 2016 was bad for cyber-attacks, 2017 proved to be worse. The malware, DDoS, and
other types of cyber threats are becoming more serious. Imagine in 2016 alone, 357 million
malware were detected and a number of them had left businesses crippled, scouting for better
data security. The use of IoT has increased the threat of cyber-attacks. The security
infrastructure on these devices will determine how secure the devices are and if there are any
weak links in the system, the threat of malware attack will loom till then.
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The threat to a business increases if it has data flowing from different sources. The data is
constantly exposed to more malware, bots and DDoS attacks. Network systems security is also
a matter of concern for businesses. There are threats to networks that have become more
common, hacks have become more complex, and they are no longer just a concern for large

organizations. The traffic on the network needs to consistently monitored, inspected and corelated.
How is Artificial Intelligence being used?
In order to detect unusual behavior on a network, there are newer security technologies that
are using Artificial Intelligence programs. AI uses machine learning to detect similarities and
differences within a data set and report any anomalies. Machine learning is a part of AI that can
help to recognize patterns in data and predict effects based on past experience and data. AI
systems, in most of the cases, use machine learning technology to generate results that
replicate human functioning. As per an article published in Forbes titled Separating Fact From
Fiction: The Role Of Artificial Intelligence In Cybersecurity, ML, coupled with application
isolation, prevents the downside of malware execution -- isolation eliminates the breach,
ensures no data is compromised and that malware does not move laterally onto the network.
Another way that cyber-attacks are changing are in terms of speed. Humans are not able to
detect the abnormalities at the speed that the attacks happen. AI, however, can assess a huge
amount of data generated on a network to identify what doesn't belong there.
AI solutions can work effectively if there are powerful input data, so organizations can start to
capture their log data and consolidate into a common data repository so that the broad set of
AI-enabled tools and analytics can become effective. There should also be a complete visibility
to all aspects of the network, which includes internal network communication, server logs, etc.
Security experts are hoping to use predictive analytics to frame new ways to deal with cyber
threats. These are insight driven solution enabled with the help of AI. Machine learning can
help in antimalware, performing dynamic risk analysis and detecting anomaly. AI techniques
can be made to learn to remove the noise or unwanted data, and facilitate security experts to
understand cyber environment for detection of any anomalous activity. AI can also benefit
cyber security with automated techniques to generate cyber courses of action (COAs) whenever
cyber threats are detected.
It is believed that now is the time to seriously contemplate artificial intelligence for
cybersecurity for any business. If you wish to protect you business data against cyber-attacks,
speak to one of our cyber security experts today.
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