Tech Corner

8 benefits of using AI in cybersecurity

Engati Team
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Sep 7
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7-8 mins

Table of contents

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Ai in cybersecurity

Artificial intelligence poses both a blessing and a curse to businesses, customers, and cybercriminals alike.

AI technology is what provides us with speech recognition technology (think Siri), Google’s search engine, and Facebook’s facial recognition software. Some credit card companies are now using AI to help financial institutions prevent billions of dollars in fraud annually. But what about its applications in cyber security? Is artificial intelligence an advantage or a threat to your company’s digital security?

Scope of AI in cybersecurity.

On one hand, artificial intelligence in cyber security is beneficial because it improves how security experts analyze, study, and understand cybercrime. It enhances the cyber security technologies that companies use to combat cybercriminals and help keep organizations and customers safe. On the other hand, artificial intelligence can be very resource intensive. It may not be practical in all applications. More importantly, it also can serve as a new weapon in the arsenal of cybercriminals who use the technology to hone and improve their cyberattacks. The VPN industry is actually benefiting from artificial intelligence too. Through machine learning, VPNs for all devices can combat the very threat artificial intelligence brings to data privacy. Machine learning algorithms allow VPNs to be more effective in protecting users from online threats, Smart Data Collective said

The discussion about artificial intelligence in cyber security is nothing new. In fact, two years ago, we were writing about how artificial intelligence and machine learning would change the future of cyber security. After all, data is at the core of cyber security trends. And what better way to analyze data than to use computers that can think and do in nanoseconds tasks that would take people significantly more time?

8 benefits of using AI in cybersecurity

Artificial intelligence endeavours to simulate human intelligence. It has immense potential in cybersecurity. If harnessed correctly, Artificial Intelligence or AI systems can be trained to generate alerts for threats, identify new types of malware and protect sensitive data for organisations.  

According to TechRepublic, a midsized company gets alerts for over 200,000 cyber events every day. A team of security experts in an average company cannot deal with this volume of threats. Some of these threats will, therefore, naturally go unnoticed and cause severe damage to networks. 

AI is the ideal cybersecurity solution for businesses looking to thrive online today. Security professionals need strong support from intelligent machines and advanced technologies like AI to work successfully and protect their organisations from cyber attacks. This article looks into the benefits of integrating AI with cybersecurity.

Let’s check them out: 

1. AI Learns More Over Time

AI is intelligent enough to keep learning by itself, and this can prove useful to develop network security over time.  AI uses machine learning and deep learning to recognize patterns on the network and cluster them, it will then detect deviations or security incidents from the norm before responding to them. These patterns can help to improve security in the future. Similar potential threats can be detected and blocked early enough. Continuous learning makes it difficult for hackers to beat their intelligence. 

2. Artificial Intelligence Identifies Unknown Threats

A human being may or may not be capable of identifying all the threats a company faces. Hackers can launch multiple attacks with various motives. These unknown threats can cause massive damage to the network. AI is more effective in mapping and stopping unknown threats from ravaging a company.

3. AI Can Handle a Lot of Data

AI can detect potential threats, even when it comes to a large chunk of data. In a company, there is a lot of communication and exchange of data internal and external. This data needs protection from malicious people and software. But it’s not possible for cybersecurity personnel to check all the traffic for possible threats. AI is the best possible solution in this case, which can detect any threat hidden in this traffic.

4. Better Vulnerability Management

Vulnerability management is key to securing a company’s network. As mentioned earlier, an average company deals with many threats daily. It needs to detect, identify and prevent them to be safe. Analyzing and assessing the existing security measures through AI research can help in vulnerability management. With the use of vulnerability management tool Analyzing threat becomes much easier for the companies.

AI helps you assess systems quicker than cybersecurity personnel, thereby increasing your problem solving ability manifold. It identifies weak points in computer systems and business networks and helps businesses focus on important security tasks. That makes it possible to manage vulnerability and secure business systems in time.

5. Better Overall Security

The threats that business networks face change from time to time. Hackers change their tactics every day. That makes it difficult to prioritize security tasks at a company. You may have to deal with a phishing attack along with a denial-of-service attack or ransomware at a go.

These attacks have similar potential but you must know what to deal with first. Bigger threats that can make security a challenge are human error and negligence. The solution here is to deploy AI on your network to detect all types of attacks and help you prioritize and prevent them. AI’s self-learning capabilities make it super equipped to take on these multiple threats together.

6. Duplicative Processes Reduce

As mentioned earlier, attackers change their tactics often. But, the basic security best practices remain the same every day. If you hire someone to handle these tasks, they may get bored along the way. Or they could feel tired and complacent and miss an important security task and expose your network. 

AI, while mimicking the best of human qualities and leaving out the shortcomings, takes care of duplicative cyber security processes that could bore your cyber security personnel. It helps check for basic security threats and prevent them on a regular basis. It also analyzes your network in depth to see if there are security holes that could be damaging to your network.

7. Accelerates Detection and Response Times

When your company network is compromised, it’s important to act fast and take necessary measures immediately. “Prevention is better than cure” It’s safer to block a threat than go and counter it later when it’s already done a lot of damage. AI can identify these threats early enough and block them before they cause any harm. 

8. Securing Authentication

Most websites have a user account feature where one logs in to access services or buy products. Some have contact forms that visitors need to fill with sensitive information. As a company, you need an extra security layer to run such a site because it involves personal data and sensitive information. The additional security layer will ensure that your visitors are safe while browsing your network. 

AI secures authentication anytime a user wants to log into their account. AI uses various tools such as facial recognition, CAPTCHA, and fingerprint scanners amongst others for identification. The information collected by these features can help to detect if a log-in attempt is genuine or not. 

Hackers use credential stuffing and brute force attacks to access company networks. Once an attacker enters a user account, your whole network could be at risk.

How AI in cybersecurity can help stop cyber attacks?

When integrated with machine learning, AI is becoming increasingly important in cybersecurity. According to ZDNet, emerging security solutions analyze large data from millions of cyber incidents and use that data to detect risks such as phishing schemes and new malware variants.

Unfortunately, some cybercriminals are one step ahead of these detection attempts, modifying their malware code so that security software does not identify it as bad. Detecting every variant of malware is a significant challenge; however, this is where AI and ML come in. ML, in particular, is ideal for anti-malware protection solutions since it can draw on data from any type of malware that has previously been detected.

As a result, when a new type of malware surfaces, the system may compare it to the database, analyze the code, and prevent the attack. This method works even when dangerous code is concealed within enormous volumes of innocent or useless code. ML can also be used to boost cybersecurity efforts in other ways. A network-monitoring tool powered by AI can also track what users do regularly. The AI can spot anomalies and react accordingly by evaluating this data, which is a major advantage in a continuously changing world.

Regardless of the application, AI and ML are becoming key actors due to their ability to stop threats in real-time while not interfering with business processes. Furthermore, these technologies may track data that escapes human sight, such as the expanding number of videos, chats, emails, and other communications.

What are the downsides of AI in Cyber security?

The advantages discussed above are just a small chunk of the potential of improving AI enabled cyber security.

However, as with anything, there are also some downsides to using AI in this field. In order to build and maintain an AI system, organizations would need substantially more resources and financial investments.

Furthermore, as AI systems are trained using data sets, you must acquire many distinct sets of malware codes, non-malicious codes, and anomalies. Acquiring all of these data sets is time-intensive and requires investments that most organizations cannot afford.

Without huge volumes of data and events, AI systems can render incorrect results and/or false positives. And getting inaccurate data from unreliable sources can even backfire.

Another major downside is that cybercriminals can also use AI to analyze their malware and launch more advanced attacks, which brings us to the next point.

Use of AI by Adversaries

AI can be used by cyber security professionals to reinforce cyber security best practices and minimize the attack surface rather than continually being on the lookout for malicious activity.

On the flip-side, cyber criminals can take advantage of those same AI systems for malicious purposes. Adversarial AI “causes machine learning models to misinterpret inputs into the system and behave in a way that’s favorable to the attacker,” according to Accenture.

For example, an iPhone’s “FaceID” access feature uses neural networks to recognize faces, making it susceptible to adversarial AI attacks. Hackers could construct adversarial images to bypass the Face ID security features and easily continue their attack without drawing attention.

To conclude

AI is fast emerging as a must-have technology for enhancing the performance of IT security teams. Humans can no longer scale to sufficiently secure an enterprise-level attack surface, and AI gives the much-needed analysis and threat identification that can be used by security professionals to minimize breach risk and enhance security posture.

Moreover, AI can help discover and prioritize risks, direct incident response, and identify malware attacks before they come into the picture. 

So, even with the potential downsides, AI will serve to drive cyber security forward and help organizations create a more robust security posture.

Also do check out this list of top 55+ tech podcasts to learn more about different areas of technology.

Food for thought-

engatica highlights a list of Cybersecurity warriors who foresight, safeguard and protect the interest of companies around the world.

Here are 50 Cybersecurity Influencers that are bringing a big change in the industry.

Engati Team

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