AI Red Teaming is primarily at home in the fields of artificial intelligence, cybercrime and cybersecurity, as well as digital transformation. The term describes a process in which expert teams attempt to find and exploit vulnerabilities in AI systems \u2013 always with the goal of making these systems more secure.<\/p>\n
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.<\/p>\n
AI Red Teaming is therefore like a fire drill for your IT security in the field of Artificial Intelligence. It helps companies to identify risks and to continuously improve the reliability and security of their AI applications. AI Red Teaming becomes particularly important because Artificial Intelligence is increasingly taking over sensitive processes, for example in personnel planning or financial decisions.<\/p>","protected":false},"excerpt":{"rendered":"