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Making the Case for AI as the Perfect Shield Against Security Threats

Making the Case for AI as the Perfect Shield

The world is digitally connected more than ever before. Businesses are making use of IT to boost their visibility, maintain a competitive edge and drive more revenue. However, the threat landscape is something else.

Attacks have become complicated. The proliferated use of the internet has seen hackers who are now resorting to smart and hi-tech attacks. Your highly guarded network isn’t safe; there are application specific attacks, blended attacks, complex spyware and malicious social engineering that make it worse.

The fact that we are at a turning point, a continuous one for that matter, is reason enough for companies to put technology to its maximum use. The good news is that with evolving technology and intelligent application, there is evidence showing that modern machines have better computational abilities compared to human. They have the capacity to ruffle through mountains of data and filter it to enable better and informed decision making.

The Best Line of Defense

Whether it’s a small start-up or a big business, there is no reason for the venture owner to lag behind simply because they cannot leverage big data. Today, the immense power of machine learning or AI tells you that it’s time to deploy AI based security interventions to combat the ever evolving threat landscape.

Relying on human capacity means contending with threats that are constantly hammering your network looking for loopholes through which to infiltrate and commandeer your operations. With AI, the proactive approach that machines take in identifying orchestrated attack makes it your best line of defense.

Proactively Identify Threats and Incidents

There is enough evidence that AI-based security analytics help organizations to thwart attacks. With such findings, it’s easy for a business to stay ahead of malicious attacker intent. But there are specific factors that make AI and machine learning your best defense against cyber threats. Adopting AI for your cyber security needs helps you in more ways than one.

Whereas AI will help you to proactively identify threats and incidents, it goes ahead and initiates quick response in the event of an attack. Organizations are better placed to detect and communicate risk possibilities on a business-wide basis. Attackers can take a convincing line of attack that seems unrealistic; AI creates a buffer of awareness such that your staff members are able to repel crafty social engineering hacks.

With AI, it’s easy to identify software vulnerabilities and configuration issues while relying on threat intelligence to stay safe. Regardless of the size of the organization, AI keeps everybody in the loop when it comes to understanding cybersecurity and requisite situational awareness.

Drivers and Benefits of AI Adoption

It’s true that organizations are adopting AI at a super-fast rate; its fool hardy for any venture to rely on traditional security options in the face of highly coordinated hacker attacks. The use of IoT and other connected devices make it crucial to adopt predictive AI technology. This is the safest method to keep your network on high alert. AI and machine learning are leading tools when it comes to studying files and their characteristics. This helps to detect malware and it’s a dynamic risk analysis approach that helps ward off complex threats and Trojans, too.

AI And Predictive Analytics

The use of AI doesn’t mean that the human factor is completely obliterated. The truth is organizations still need the human input to design innovative solutions to counter attacks. At some point, the issue of white hat AI and black hat AI comes to the fore. There are dedicated threat agents, and it takes equally dedicated hackers to keep the antagonists at bay.

AI and predictive analytics play the augmentation role when it comes to fighting cyber security threats. They make anti malware solutions automated and more effective. With AI, your staff has more time to actively investigate threats instead of filtering through humongous data looking for solutions.

Published: August 2, 2018
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Robert Kolaski

Robert Kolaski

Robert Kolaski is the content manager of Ottomatik, a company dedicated to providing developers and sysadmins with server management tools. He likes to stay up to the speed with technology and related topics and has been contributing in the same since a decade now.

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