Like any IT system, AI systems are also exposed to the risk of attacks, but these differ fundamentally from traditional cyberattacks in the way they are conducted. With our AI stress test, we simulate various attacks on AI systems in order to identify security vulnerabilities and take countermeasures.

Although AI systems have convincing performance indicators, they often pose considerable risks, such as bias, misalignment, data drift, uncertainty and many more. These can remain hidden during the validation of the system, both in the development process and in productive operation. Through a comprehensive assessment of your AI, we not only identify these risks, but also actively support you in minimizing them.

According to the European AI Act, AI systems must be categorized into risk classes when the regulation comes into force. These classifications result in obligations for developers and users to ensure the trustworthy use of AI. Our qualified team will take care of this process for you and explain all regulatory requirements.