The Role of AI in Cybersecurity

Table of Contents

As Machine Learning algorithms become increasingly complex, AI in cybersecurity has become a hot topic in today’s infosec age. AI in cybersecurity is being considered for almost every field you can imagine today. If humans can do it, AI can do it (perhaps with a little human assistance). It’s an exciting and wonderful time for cybersecurity enthusiasts to leverage AI in order to strengthen cybersecurity aspects. Let’s dig deeper into AI in cybersecurity and how it is shaping the future of cybersecurity in 2023.

How Does AI In Cybersecurity Work?

AI has three main functions to become a powerful tool against cyberattacks:

Anomaly Prediction: AI can predict potential cyber threats by sorting data and making predictions based on what it’s programmed to identify. Businesses should adopt this AI technology to identify vulnerabilities in their existing systems and strengthen their defenses against potential cyber-attacks.

Anomaly Detection: AI can find signs of irregularity associated with websites, applications, or networks and send a notification. Then, you can investigate further on the matter and take necessary measures to prevent a cyber attack. 

Attack Response: Businesses can use AI to fight and stop cyber attacks in real time. A business can program AI tools to detect potential threats and eliminate them as soon as they are detected without the need for human intervention. AI can achieve this by automatically developing protection mechanisms in the face of a threat.  

How Is AI Used In Cybersecurity Now? 

AIOps Platforms

This AI facet runs complex algorithms over huge data volumes containing regular system traffic and malicious or abnormal traffic, intending to predict and fight any cyber threats before it happens. This way, businesses can discover potential cyber-attacks and block them before taking place. 

AI-Based Intrusion Detection Systems (IDS)

This AI facet can detect possible threats by identifying malicious activities and abnormal traffic and tracking the system patterns. Like a human, the AI algorithm should be familiar with what is considered normal in the system to be able to identify any abnormal condition.  

Machine Learning-Assisted Hacking Tools

This AI facet creates hacking tools in the market today. But it also paves a path for cybercriminals to develop more analytics tools to increase their attacks. It might create a future filled with AI-assisted phishing and ransomware attacks. 

Machine Learning-Assisted Malware Analysis

This AI facet helps strengthen cybersecurity by developing high-level malware analysis tools. Such malware analysis tools can examine large data volumes for malicious patterns. For instance, you can use AI to scan all incoming emails to a particular system to identify and prevent any incoming phishing threats from email. This is one of the most essential software for preventing phishing attacks. 

What If Hackers Use Their Own AI in Cyberattacks?

Some people are worried about hackers building their own AI cyber-attacks system. One of the first glimpses into an AI-based cyber attack came from DARPA’s Cyber Grand Challenge. This was an all-machine cyber hacking tournament. In the tournament, several teams displayed fully automated cyber attacks, such as patch generation, generating exploits, and launching attacks.

So it became clear that hackers can manipulate AI learning-based systems. For instance, a team proved they could fool self-driving vehicles just by exploiting the road sign detection system of the vehicle. They can force the vehicles to misclassify the road signs using graffiti and art objects. And that is the basis of how hackers can fool AI cybersecurity systems by exploiting classification systems, which are again trained on AI.

Real-Life Examples Of Businesses Using AI For Cybersecurity 

Here are three businesses investing big in AI: 


Tessian uses AI to prevent breaches, spear phishing attacks, business email compromise, and data loss from harmful emails. 

The company uses machine learning to integrate email filters that can eradicate unwanted and suspicious activities in inbound and outbound emails. The technology can also include a real-time dashboard allowing security teams to monitor their infrastructure’s health. 

VMware Inc 

VMware Inc is an information technology (IT) company. It focuses on the application and development of virtualization technologies for businesses to manage IT resources across multi-cloud and private clouds. 

VMwareInc uses machine learning technologies to help businesses use their product to identify suspicious activity before it’s in their networks. This allows cybersecurity analysts and security teams to identify eminent threats quickly and collaborate with other businesses to share their findings and discuss possible prevention measures.  

Hutchinson & Bloodgood

Hutchinson & Bloodgood uses AI to provide comprehensive protection when their staff and customers use its internet domain connections. 

This technology has a threat detection and content filtering system divided into multiple categories that offer extended cyber protection against domain-based threats. Using this AI system, Hutchinson & Bloodgood has managed to stay away from domain-based threats and keep out all disruptions against its workflows. 

The Road Ahead

There is significant room for growth for AI in cybersecurity in the years to come. The predictions that AI systems make based on the cyber patterns they identify will help cyber analysts respond to emerging threats. AI is an interesting tool that can help stem the tide of cyberattacks and has the potential to become a required tool for the next generation of cybersecurity professionals with careful cultivation.

If you need assistance in developing an AI-based application to protect your organization against cyber attacks, we are here to help.

Contact us today to discuss your requirements!

Ready to take your business to the next level?

Get in touch today and receive a complimentary consultation.