One of the most key difficulty cybersecurity teams faces today; they are always behind the hackers or criminals. Human error also opens the door for cyber attacks because these attacks target human vulnerabilities. In cybersecurity, the most general human errors are the direct consequence of clicking links, opening attachments, and accessing personal or classified information into a seemingly legal account.
However, Artificial Intelligence has the potential to make a strong impact on Cybersecurity. AI can collect detailed data regarding users through biometric systems that accumulate physical information, including fingerprints, voices, and even vocabulary. With the capability to identify a miniature disparity in this input, AI keeps illegitimate users out of the system. AI tech lessens the challenges of assessing security alerts to find out which are legitimate and which needs to immediate attention. With Machine Learning algorithms, it generates a behavioral footprint that can mine and assess registries and online databases for indication on the subject of the specific criminals whom the attacked the systems. These algorithms can further isolate domain names, IP addresses, and websites that used in the attack to support cybersecurity teams detect and stop the attackers.
AI has also the ability to track Big Data, where it can perceive the data within the companies 24*7 to foresee when and how an attack will occur, evaluating network activities while actively analyzing data samples with utilizing predictive analytics. Eventually, AI will build smart learning and become better at detecting immediate menaces, and avoiding through security alerts. Artificial Intelligence technologies even can identify vulnerabilities that the security team is unable to see.