The term "security tests for AI" belongs to the fields of artificial intelligence, cybercrime and cybersecurity as well as digital transformation.
Safety tests for AI are tests that ensure that artificial intelligence (AI) in software, apps or machines works safely and reliably. They are designed to prevent AI from making dangerous mistakes, being hacked or making undesirable decisions.
Imagine a car with self-driving technology using an AI. Safety tests for AI check, for example, whether the car reacts correctly in a dangerous situation and does not make any unforeseen decisions that could endanger people.
However, such security tests not only check the behaviour of the AI, but also whether data is stored securely and cannot be stolen or manipulated by cyber criminals. They also help to identify biases in the algorithms so that AI does not treat anyone unfairly.
Security tests for AI are therefore an important step towards creating trust in new digital technologies and reducing risks in everyday life or in the company.















