How AI is Fighting Against Cybercrime to Combat the Same: Here’s Everything!

How AI is Fighting Against Cybercrime to Combat the Same: Here’s Everything!

According to cybersecurity experts, cybercriminals began exploiting Artificial Intelligence in 2020 to plan complex attacks, and one of the most affected industries is healthcare. 

The cherry on top became the pandemic that led to a rise in remote work. Thus, the combination of the two created opportunities for cybercriminals to attack the healthcare sector, making it one of the targeted industries.

But why is remote work to be blamed? 

It is all because of an unplanned shift from a brick-and-mortar approach to working from home, leaving no time for companies to ensure information security.

For instance, one of South Africa’s healthcare groups was hit by a complicated cyberattack that manages around 70 health facilities!

The Cyber World and Its Threats  

There are billions of websites, services, and whatnot across the internet ecosystem. Sure, developing a presence in the online world is easy; however, what’s challenging is the ability to maintain data security.

Wondering what kind of data threats can haunt you? Listed below are a few:

  • Malicious software leads to encryption of files and holds them for ransom.
  • Phishing is a method used by cybercriminals to shoot fake emails requesting personal information or security data. 
  • Hacking of personal or business data
  • Security breaches within an organization
  • ETC!

Unsurprisingly, cyberattacks have always been a threat to businesses; however, their complexity has boosted over the last couple of years. 

AI technology have been contributing to making it easier for hackers to level up their attacks. But you know what? 

Businesses also started leveraging AI-powered tools as defense mechanisms to fight against cyberattacks. 

So, How Would AI Fight AI? 

The fact can not be denied that AI is required to combat these attacks in addition to Machine Learning. When AI is amalgamated with ML, the mechanism enables systems to absorb insights from data than being programmed to do the same. 

AI incorporated in security systems differentiates good from bad, while advanced AI mechanisms can analyze massive chunks of data to monitor any suspicious activities or behavior. 

Moreover, organizations are also leveraging AI and ML-based models for mounting network architecture that can prevent attacks. 

To learn more about how AI can enhance cybersecurity, take a look at some of its best advantages: 

1. Detection of Threats 

As mentioned earlier, AI can track malicious activities. Unfortunately, traditional software mechanisms are unable to keep up with the modern malware systems; thus, AI works exceptionally to help with the same. 

Notably, AI uses algorithms that are built to detect ransomware attacks or other dubious activities before they enter the system. 

2. Battle with the Bots

Bots can be highly dangerous for businesses and customers since they hold the potential to carry out identity theft, keylogging sensitive information, and more. 

Here’s when AI comes in handy, as the combination of AI and ML can segregate good bots, bad bots, and humans.

3. Prediction of Breach Risk 

IT asset inventory is a detailed record of devices, users, and apps that is determined by Artificial Intelligence systems. These systems can foresee the compromising situations and help you plan ahead by allocating resources in the areas of vulnerability. 

4. Offers Endpoint Security 

The more people began working from home, the number of devices utilized for remote working increased. Fortunately, AI contributes to securing these endpoints. 


If something unusual comes up, AI immediately takes action against the same in place of waiting for signature updates. Guest post site

Are There Any Downsides of AI in Cybersecurity? 

Every coin has two sides. Similarly, AI in cybersecurity also comes with a few downsides. For instance, businesses would require extra resources and financial investments. 

Additionally, since AI systems are instructed to use data sets, well-defined sets of malware codes, non-malicious codes, and anomalies must be acquired. Acquiring all the data sets at once is time-consuming and requires heavy investment. 

Another advantage is if there’s an absence of large sets of data, AI might present inaccurate results. 

In a Nutshell 

Undoubtedly, AI is a fast-paced tech and is exceptionally evolving. It will continue to track security occurrences, and ML will leverage firewalls to monitor anomalies. 

What is your idea about leveraging the technologies into your business via mobile apps?

Is it possible, you ask?

For detailed insights on the idea, connect with a leading mobile app development company in South Africa

So, how about a consultation?

Author bio:

Hello, I am a professional SEO Expert & Write for us technology blog and submit a guest post on different platforms- we provide a good opportunity for content writers to submit guest posts on our website. We frequently highlight and tend to showcase guests.

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