AI can help in Cybersecurity: Let’s see How | By Deepali Mehta

AI can help in Cybersecurity: Let’s see How

Artificial Intelligence has been a consistent as a trend for a couple of years as of now, and with the severe advancement, it is assumed that a major shift will be seen from stand-alone intelligent things to a collaborative swarm network of intelligent things. In a layman’s language, one can expect a sort of revolution within the revolution that could change on an instant basis the face of businesses using cloud computing solutions over the next few years. 

Often defined as artificial decision making, the use of artificial intelligence is quite similar or equal to human decision making, based on certain unique algorithms and related mathematical calculations. And on the other hand, cybersecurity is the security measures that need to be taken to get rid of cyber-attacks in the virtual world. Now, where do these two terms meet or should I put it this way how artificial intelligence is changing cybersecurity.  

Much like artificial intelligence, cybersecurity has become a significant concern in today’s digital era. Right from data breaches to ID theft, cracking the Captcha, other such stories abound, affecting millions of individuals as well as organizations. However, the challenges have always been endless in inventing when it comes to right controls and procedures and implementing them with acute perfection for tackling with cyber-attacks and crimes. And with the ever-increasing risk of cyber-attacks and crimes grew exponentially with recent advancements in artificial intelligence. 

Where is artificial intelligence needed?

In the present scenario, AI’s crucial role right now is to offload work from human cybersecurity engineers, to handle the depth and detail that humans cannot tackle fast enough or on an accurate basis. With rapid advances in machine learning technology, AI application seems to be capable enough to adopt changes in potential threats and spot problems as soon as they arise. 

When it comes to identifying Cyber Attacks 

Nowadays being used to identify unexpected attacks on the cyberspace such as different web platforms and high security based official websites, Artificial Intelligence technology also seems to be making things difficult for hackers to get access to high- security websites. The bad guys think they are pretty clever to use different ways to initiate cyber-attacks and demand for ransom. But as soon as AI detects any sort of unauthorized entry, it starts taking adequate measures. A high success rate of AI-based websites in detecting cyber-attacks tends similar sites to choose AI as the primary security measure in general.

As a result, many companies have started using AI as a powerful weapon against the puissant cyber-attacks and trespasses. In addition to this, the technology even allows you to automate the detection of threat and combat even without the involvement of the humans powering your data to stay more secure than ever. In order to leverage such tech to its fullest, make sure you collaborate it with the right security-intelligence personal. Malware and cyber-attacks are pretty common these days, even less skilled hackers know how to trigger the right attack, leaving the company’s cyber cell no clues about what actually happened. And now comes our hero- AI to the rescue! 

AI is by no means a cybersecurity panacea. When pitted directly against a human opponent, with clear circumvention goals, no matter how much you raise your eyebrows in dismay but the tech can be defeated. However, it doesn’t mean we shouldn’t use AI; it means we should understand its limitations first. In addition to this, the tech cannot be left to its own devices. It definitely requires human interaction and training in AI-speak to continue to learn and improve, correcting for false positives and cybercriminal innovations. Although, the hybrid approach has already proven its worth as a valuable asset in the IT sector as it works efficiently alongside threat researchers. So instead of recruiting a highly talented personal for doing such repetitive and mundane tasks, the machine takes away this burden and allows them to get on with the more challenging task of finding new and complex threats. 

Implementation of AI for cybersecurity

  • Bio Metrics

I had come across a piece of news stating that just before Black Friday, Amazon was targeted in a significant security breach that compromised the email addresses and personal information of multiple users. According to the company officials, users need not to change their passwords, but CTO of CensorNet Richard Walters did not agree. He stated that the users require to change their passwords as most passwords are predictable, and some of them are readily available on the dark web due to previous high profile breaches. 

However, several other cybersecurity experts believe that a password is such a vulnerable thing especially to cyber-attacks and users personal information, credit card information, and social security numbers can be easily compromised. By using AI biometric login technique, you can scan through fingerprints, retina, and palm prints on an accurate basis. Such biometric logins can be used in combination with passwords that are already in use, for example- smartphone encryption. 

  • Understanding natural language processing 

One of the vital reasons to use AI for cybersecurity is the potential of Natural language processing. AI-powered systems can automatically collect data for reference by scanning articles, studies, and news on cyber threats. By using natural language processing techniques, AI can select useful information from the scanned data. As a result, you receive information that provides great insights into cyber-attacks, anomalies, mitigation, and prevent strategies. Using the analyzed information, cybersecurity firms can identify timescales, calculate risks, harvest data, and make predictions. 

  • Securing conditional access

Most organizations across the globe tend to use authentication models to secure vital data from unwanted people and intruders. For example, if an employee or business leader with higher authentication privileges is accessing such data remotely, then do you think that the system can be compromised using the network? Probably not! In such cases, traditional authentication models prove to be less agile. Whereas using AI for cybersecurity will help to create a dynamic, real-time, and global authentication framework that alters access privileges based on location or network. 

Final Thought

Further speaking of the cybersecurity industry, professionals here require to get a better perspective on what machines do best and what people do best. Although, several advances in AI can provide new tools for threat hunters, helping them protect new devices and networks even before a human researcher classifies a threat. Time to make the most of it!

Author Bio:

Deepali Mehta is a trend observer working for, a software outsourcing company. She loves to explore new technical trends what’s been going around the world when she is not working. Deepali is a true word lover often finds solace by gleaning the internet for treasures.

September 3, 2019
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