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AI is the Key Weapon in the Cyber Security War

According to a 2017 Cyber Security Report by Telstra, a ransomware attack affected 60% of the Australian organizations in the past year.

The report also revealed that ransomware was the leading type of malware to be downloaded during 2017 in the Asia Pacific region.

For this reason, the malware has become one of the top cybersecurity threats across Australia, particularly for businesses.

Cyber-attacks often take weeks or even months before being discovered since most security point solutions only store data that has been collected for a few days or weeks.

READ MORE: 5 AI Cybersecurity Tools You Need To Know

READ MORE: Cyber Experts Warns Not to Perceive AI as a ‘Silver Bullet’

Additionally, criminal groups are taking advantage of living-off-the-land techniques and complex exploit tools to boost dwell time.

Nevertheless, dealing with malware-free intrusions has proven to be one of the challenging aspects of the cybersecurity industry.

With most of the traditional security approaches being rendered useless by modern threats, the need to rely on more innovative solutions is inevitable for Australian organizations.

Advanced solutions that integrate behavioral analytics and artificial intelligence are the answer to the cybersecurity menace.

As far as security scenarios are concerned, artificial intelligence boasts capabilities that surpass detecting known security threats.

On the other hand, behavioral analysis techniques are essential today in most breach incidences, especially when it comes to isolating threats by looking at the actions taken.

Therefore, combining behavioral analytics with a prevention plan built on machine learning or artificial intelligence is a game changer in boosting security for corporate networks.

Getting the Appropriate Solution

Artificial intelligence adds considerable value to corporate security methods in terms of scale and speed, which make up critical aspects of cybersecurity.

Here are several questions to help CIOs who are unfamiliar with integrating artificial intelligence into their plan to evaluate their solutions as follows:

Is the data gathered from a worldwide, cross-section of industries?

Since different industries face distinct types of security incidences, having a network of verticals helps to create more comprehensive perspectives of cyber threats.

What is the capacity of data sets that the algorithms were trained against?

This is not only vital for effective detections but also minimizing false positives.

How to refrain classifiers and algorithms?

The real-time updating process is fundamental for staying ahead of rapidly-emerging threats.

While we ponder on the failures of traditional security approaches, there is no doubt that malware like NotPeya and WannaCry have negatively affected the corporate world.

Hence, this situation calls for business leaders to consider seriously the benefits of introducing artificial intelligence into their security strategies.

Original source PC World

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KC Cheung
KC Cheung has over 18 years experience in the technology industry including media, payments, and software and has a keen interest in artificial intelligence, machine learning, deep learning, neural networks and its applications in business. Over the years he has worked with some of the leading technology companies, building and growing dynamic teams in a fast moving international environment.
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