AI-supported intrusion detection is primarily used in the areas of cybercrime, cybersecurity and artificial intelligence. The term describes the use of artificial intelligence to recognise unwanted access or attacks on computer systems at an early stage.
In contrast to conventional security software, AI-supported intrusion detection not only works with fixed rules, but also "learns" independently. It analyses huge amounts of data, recognises patterns in the system image and can therefore detect suspicious activities faster and more reliably. This helps companies to better protect themselves against hackers and cyber attacks.
An illustrative example: In one company, an AI-supported intrusion detection system monitors data traffic in the company network. As soon as the AI detects that an employee is accessing an unusually large amount of sensitive data at once - a behaviour that could indicate data theft - the system immediately sounds the alarm. This allows security managers to react before any damage is done.
AI-supported intrusion detection therefore increases security and is an important component of modern IT protection measures, as it can adapt flexibly to new attack methods.
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