Use of Artificial Intelligence in Cybersecurity

June 21, 2022

The cyberattack surface in today's business systems is enormous, and it's just becoming bigger. As a result, monitoring and improving a company's cybersecurity posture takes more than just human touch.

In this article, we'll look at the most popular use of artificial intelligence in the field of cybersecurity, as well as how AI is improving organizational security by avoiding vulnerabilities that existed previously.

Why AI in cybersecurity?

Artificial intelligence (AI) is assisting security operations analysts with limited resources to keep ahead of threats. Natural language processing and machine learning are examples of AI technologies that give quick insights to break through the noise of everyday notifications and substantially reduce reaction times.

The threats that challenge businesses or organizations change with time. Every day, hackers alter their strategies. This makes prioritizing security initiatives at a firm challenging. You might be targeted for phishing, denial-of-service attacks, or ransomware all at the same time. These attacks have similar potential, but you must first decide which one to tackle. Human mistakes and neglect are more serious dangers that can make security difficult. The solution is to implement artificial intelligence (AI) on your network to identify all forms of threats and assist you in prioritizing and preventing them.

Because AI & ML are capable of quickly evaluating millions of data sets and tracking down a wide range of cyber dangers — from virus threats to shady conduct that might result in a phishing attempt — they are becoming increasingly popular. These systems are constantly learning and improving, relying on previous and current events to identify new types of assaults that might happen today or tomorrow.  

The popular uses of artificial intelligence (AI) in the domain of cybersecurity - 

#1 AI made Vulnerability Management Easier

Vulnerability management is essential for network security. As previously said, a typical organization faces several dangers on a regular basis. To be safe, it must detect, identify, and prevent them. AI research may assist in vulnerability management by analyzing and reviewing existing security measures. AI allows you to study systems faster than cybersecurity experts, dramatically improving your problem-solving abilities. Discovering weak places in computer systems and corporate networks supports firms in focusing on important security tasks. This enables quick vulnerability monitoring as well as the security of corporate systems.

#2 AI helps in repetitive security checks

Attackers frequently switch strategies to attack a system. The core security best practices, on the other hand, remain unchanged. If you hire someone to do these things for you, they can get bored. Alternatively, they might be fatigued and complacent and overlook a critical security duty, exposing your network to outer threats. AI takes care of redundant cybersecurity processes that might dull your cybersecurity professionals while emulating the best of human attributes and leaving out the flaws. It aids in the detection and prevention of basic security risks on a regular basis. It also does a full network analysis to see if any security holes exist that might be dangerous to your network.

#3 AI made New Threats Detection Simple

Artificial intelligence may be used to detect cyber dangers and potentially dangerous behaviors. Traditional software systems just cannot keep up with the sheer volume of new viruses being generated every week, therefore this is an area where AI may be an extremely useful chevalier. AI systems are being trained to identify malware, execute pattern recognition, and detect even the tiniest characteristics of malware or ransomware assaults before they reach the system using advanced algorithms. With natural language processing, AI can provide higher predictive intelligence by scraping articles, news, and research on cyber dangers and curating material on its own. This can reveal new anomalies, countermeasures, and cyberattacks. After all, hackers follow the same trends as everyone else, so what's hot with them changes all the time.

#4 AI helps in better Breach Risk Prediction

AI systems can help determine the IT asset inventory, which is a comprehensive and accurate record of all users, apps, and devices with different levels of access to multiple systems. Now, taking into account your threat exposure and asset inventory, AI-based systems can forecast how and where you're most likely to be hacked, allowing you to plan and devote resources to the most vulnerable locations. You may set and modify policies and procedures to boost your cyber resilience using AI-based analysis and prescriptive insights that it offers.

#5 AI made more protected Authentication 

Most websites offer a login option that allows users to access services or make purchases. Visitors must fill out contact forms containing personal information on certain sites. Because such a site incorporates personal data and sensitive information, you'll need an extra degree of protection as a business. Because of the additional security layer, your guests will be safe when using your network. When a user wishes to connect to their account, AI secures authentication. For identification, AI uses a variety of techniques like face recognition, CAPTCHA, and fingerprint scanners, among others. The data from these features can be utilized to identify whether a log-in attempt is genuine or not.

Conclusion-

In a recent poll conducted, three out of four CEOs believe that AI helps their company respond to security incidents faster. 69 percent of businesses believe AI is required to respond to threats. And, according to three out of five companies, AI enhances the accuracy and efficiency of cyber analysts. 

The conclusion that we can draw from this poll is that AI gives better answers to an organization's cybersecurity demands as networks get larger and data grows more complicated. Simply said, humans are unable to deal with the increasing complexities on their own, and AI will be required sooner or later.

Adopting AI to boost your security architecture is a major step toward becoming safer that you should be considering taking now. There are several benefits to using AI for corporate security, and we believe it will soon become a standard part of commercial cybersecurity.

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