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Innovative Cybersecurity with AI: Transforming Digital Defence in the Modern Era

When it comes to cyber-attacks, many people think they don’t concern them and that it only affects multi-billion companies. But the truth is that these kinds of attacks affect everyone. 

According to a recent study by Apple, the number of data breaches has tripled between 2013 and 2022. These attacks have exposed around 2.6 billion records, affecting the lives of thousands of people.

The number of people working in cybersecurity has risen in the last few years. However, companies are still understaffed to deal with the newest cybersecurity threats.

Thankfully, the cybersecurity sector seems to have gained a new ally in the form of AI. With the rise of machine learning technologies like Chat-GPT, many companies have begun to use them to avoid further attacks.

If you want to know more about the role of AI in the future of cybersecurity, then keep reading this article.

A Never-Ending Threat

Over the last decade, many people have dedicated themselves to illicit hacking activities. Ransomware and phishing, in particular, have grown vastly in recent years.

If you don’t know, ransomware is stealing information and extorting the owner by revealing or selling the stolen data. On the other hand, phishing involves tricking people to get access to their bank information and other data.

The stolen information is usually sold or posted online for everyone to see. So, It doesn’t matter if you’re an executive or a run-of-the-mill worker; data breaches can affect you.

Security in Online Games

Besides exposing information, many hackers have also dedicated to messing up online games. We know that hacking a game may seem small, but you shouldn’t underestimate these attempts. 

Over the years, many players have tried to hack into online casino games like Sweet Bonanza to cheat and steal money from it. While these attempts have failed so far, they remain a constant headache for developers and operators.

Competitive esports games have also been victims of hacking attempts. Some players have used tools to enter the competitive scene and make money in tournaments, while others tried to steal data from players.

AI, the Ally That Never Sleeps

To understand how programmers and hackers can benefit from AI, we must first explain how they resolve problems. When a network is infected by malware or ransomware, the programmers must identify how the breach happened and where it came from.

This identification process can take a lot of time since the programmers must explore many variables, and this is where AI can start to help. 

Programmers can train AI with constructs of previous cyber-attacks to find patrons and deal with the problem more quickly. Once the issue has been identified, the hackers can use AI to build up code faster and patch the security breach. 

Of course, this doesn’t mean the AI will do all the work for the programmer. If you send an AI to write code, you must verify it thoroughly to ensure it has no backdoors or errors. 

Antivirus companies could also train AI soon to identify threats more effectively. These improvements would allow the programs to deal with false positives more efficiently.

The Other Side of the Coin: AI as a Cyber-Security Threat

Of course, not everything from AI is beneficial. Just like there are good programmers who use AI to solve emergencies, there are malicious ones who can use it to create bigger ones.

Stronger Phishing

Scammers can trick AI into forging better false emails for Phishing, making them hard to recognise. Now, we know that there are some websites and programs that can determine if a text was created by AI or not. But, these aren’t fully accurate yet, as AI chatbots are constantly evolving. 

Malware and Backdoors

Hackers can use AI to generate backdoors into different networks and programs. In case you don’t know, a backdoor is a secret code that third parties can use to control the program remotely and alter its functions.

Backdoors can be extremely dangerous since hackers can exploit them to extract information from the device and its apps. Meanwhile, you use the program normally without knowing what’s happening.

Hackers can also abuse AI technology to create more potent malware capable of bypassing antivirus analyses. This malware could even outwit the efforts of security AIs in the not-so-distant future, becoming a severe cybersecurity threat.

Of course, these victories would be short-lived, as the programmers would eventually learn from it and design a more powerful AI to counter it.

AI Hallucination

One of the most significant flaws in AI technology is that other humans can trick it and make it malfunction. This phenomenon is referred to by experts as AI hallucination and significantly damages the efforts of any AI program.

You can trigger AI Hallucinations by giving the program the wrong information. Since AI can’t determine if the user is lying, it’ll operate with incorrect data, unintentionally showing bad results. 

If malicious hackers get access to a cybersecurity AI, they could alter it to give wrong analyses or misinform programmers, making their job harder. 

Which Cybersecurity Companies Are Working With AI?

As we mentioned, many companies have started working with AI to implement it in their services. One of the most famous is undoubtedly IBM, which offers solutions like IBM Security QRadar Suite and Guardium to investigate possible threats.

Another company we should mention is Fortinet, which has fully embraced AI and implemented it in its web, device and content security services. Fortinet also offers clients Zero Trust Network Access (ZTNA), allowing them to access any app on their network, even if they’re working from home.

Future of AI and Cybersecurity

AI can be an excellent tool for programmers to deal faster with different network threats. However, we must also be careful with these technologies since malicious hackers can use them to create more potent malware, scam people and even damage other AI programs. 

If cybersecurity companies want to prevail in the future, they must avoid becoming dependent on AI. Programmers will also need to adapt to the changing times and use AI not as a crutch but as a tool to improve their capacities.