AI Red Teaming is particularly at home in the fields of artificial intelligence, cybercrime and cybersecurity as well as digital transformation. The term describes a process in which teams of experts attempt to find and exploit vulnerabilities in AI systems - always with the aim of making these systems more secure.
Imagine a company develops intelligent software that automatically screens job applications. Before this software is used, an AI Red team tests how it reacts to tricks or manipulation, for example fake CVs or deliberately placed keywords. The team takes on the role of an attacker and simulates various attacks on the AI system. This enables developers to discover and rectify weaknesses in good time before criminals exploit them.
AI Red Teaming is therefore like a fire drill for your IT security in the field of artificial intelligence. It helps companies to recognise risks and continuously improve the reliability and security of their AI applications. AI Red Teaming is becoming particularly important because artificial intelligence is increasingly taking over sensitive processes, for example in personnel planning or financial decisions.