3 Cybercrime Trends to Follow

The average anti-virus protection isn’t enough to fight the threats from new cybercrime trends, which includes A.I. Fuzzing, Machine Learning, and Swarms. The next 5 years are set to see a 175 percent increase in data breaches, making cybercrime among the most threatening and growing trends. As cyber attacks have grown in popularity and effectiveness, they’ve also lead to the development of criminal organizations that operate quickly, and continue to incur less overhead costs as a result of availability and automation.

 

Emerging trends include several severely impactful and sophisticated cybersecurity threats.

Trending Cybercrime Attacks

1. A.I. Fuzzing 

Generally used only in controlled professional research environments, fuzzing injects data into programs, which allows researchers to discover weaknesses that lead to crashes and data exploits.

 

It’s predicted that artificial intelligence will allow fuzzing to become more accessible and more user-friendly to developers. As a result, cybercriminals will be able to quickly determine weaknesses and exploit them.


2. Poisoning Machine Learning

Many cybersecurity defense systems and programs utilize machine learning to determine irregularities in back-end functions and interactions. Machine learning models are already utilized by unreliable sources that allow public access.

 

This creates the opportunity to mislead the defense system to ignore security updates, overlook threatening traffic, and easily introduce malware.

 

3. Swarm Attacks

Malicious bots are already being used in mass conjunction with one another, making it possible to automate many orchestrated attacks at once.

 

As automated threats continue to develop, their widespread use will become more common as the technology requires little effort from attackers.

Reducing the Risk

Having an integrated cybersecurity solution creates peace of mind while providing safe browsing, threat detection, and multiple layers of security that keep cybercriminals away.

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