One of the most common ways in which AI is transforming cyber security involves making computers, applications and organizational systems better detect and block cybersecurity threats.
In most cases, traditional methods are followed and they can only detect known threats. However, with AI, it allows the use of more autonomous systems that can learn independently without relying on human beings, thus expanding the scope of threat detection beyond what’s familiar to human beings.
The old methods check for prior-fed data such as entry codes, signatures, identity numbers, and any other exclusion and inclusion criteria. With the current improvement, the ML algorithms are excellent in identifying anomalies in any pattern. The system develops the standard routine and will henceforth reject anything that deviates from the set standards.
Once it detects a software on the network which is being affected, it speeds up the response and some AI bots block access to websites completely. By undergoing such actions, AI can improve the security of a company’s internet-facing systems.