As artificial intelligence (AI) grows, cyberattacks are becoming more advanced and harder to stop. Traditional security systems that protect company networks are no longer enough, especially when dealing with insider threats, stolen passwords, and attackers who move through systems unnoticed.
Recent studies warn that cybercriminals are using AI to make their attacks faster, smarter, and more damaging. These advanced attackers can now automate phishing emails and create malware that changes its form to avoid being caught. Some reports also show that AI is helping hackers quickly gather information and launch more targeted, widespread attacks.
To fight back, many security teams are now using a more intelligent system called User and Entity Behavior Analytics (UEBA). Instead of focusing only on known attack patterns, UEBA carefully tracks how users normally behave and quickly spots unusual activity that could signal a security problem.
How UEBA Works
Older security tools were based on fixed rules and could only catch threats that had already been seen before. They often missed new or hidden attacks, especially when hackers used AI to disguise their moves.
UEBA changed the game by focusing on user behavior. It looks for sudden changes in the way people or systems normally act, which may point to a stolen account or an insider threat.
Today, UEBA uses machine learning to process huge amounts of data and recog
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