Data exchange is significantly increasing as the tech industry is rapidly growing and evolving each year. The use of Artificial Intelligence and machine-learning algorithms have been adopted for better defense against hackers. This blog will cover the pros and cons of AI in cybersecurity.

The role of AI in cybersecurity is to predict cyberattacks before they occur by studying the pattern of online traffic, foretelling any future threats, and preparing to defend against attacks and eliminate them before they cause any issues.

The Pros of Using AI in Cybersecurity

There are many pros when it comes to using AI in cybersecurity. AI provides better protection by predicting and preventing attacks.

  1. AI Can Handle a Lot of Data

Cybersecurity automation helps companies manage tremendous amounts of data a day. The machines can detect threats before they occur and can quickly look over the data to expose them.

  1. Algorithms Learn More Over Time

AI programs have the ability to learn through algorithms, these could be machine learning or deep learning. They are able to recognize patterns along with predicting changes.

  1. Unknown Threats Are Easy to Identify

Hackers launch millions of malicious software every day. With AI, the focus is on changes in the network to identify the new threats

  1. Machine Learning Helps Fight Scams

Machine learning algorithms are used to prevent spamming emails and phishing scams. This is used to identify suspicious emails, and then warn/protect users.

  1. Duplicative Processes Are Reduced

AI algorithms can save analysts lots of time that they would normally spend on repeating the same processes over and over again.

The Cons of Using AI in Cybersecurity

Although AI has many benefits, the whole process comes with quite a few cons, including:

  1. Cybercriminals are AI Savvy Too

AI knowledge is available for everyone, meaning that cybercriminals can get ahold of AI-produced cybersecurity solutions and use them to exploit malware. They can create AI-proof programs that have more effective ways to hack websites and organizations.

Cybercriminals also use machine learning to understand how AI-based cyber solutions are trained.

  1. AI is still expensive

Ai is growing as a result of data science and big data. This makes it so that experts are hard to find because there aren’t many AI solutions.

  1. Unemployment

AI cybersecurity indicates a threat of unemployment. Many companies don’t need to keep IT experts because AI can do the job instead.

Contact us today to learn more about your cybersecurity.

Blog| Instagram | Twitter

0 Comments

Leave a Reply