Risk-adaptive AI is part of the topics of artificial intelligence, cybercrime and cybersecurity as well as digital transformation.
The term "risk-adaptive AI" describes artificial intelligence systems that can change their behaviour depending on the risk. This means that a risk-adaptive AI recognises how high the risk of a certain situation is and reacts flexibly to it. This plays a particularly important role in the field of IT security.
A practical example: Imagine an automated security system that monitors a company's data traffic. If the AI notices unusual activity, such as suspicious login attempts, it assesses the risk. Depending on how dangerous the situation appears, it requests additional security measures, such as two-factor authentication or an immediate notification to the IT team.
This adaptability means that companies are better protected against cyberattacks because the AI does not always react in the same way, but rather depending on the recognised risk. In this way, unimportant faults are filtered out and real threats are recognised and reported much more quickly.















