The term "open source AI security tools" is particularly at home in the fields of artificial intelligence, cybercrime and cybersecurity as well as digital transformation. It describes software tools that are used to make AI systems more secure - based on open source principles. This means that the programming code of these security solutions is publicly accessible and can be reviewed, modified or improved by anyone.
Thanks to open source AI security tools, companies and private individuals can better protect their AI applications against attacks, data misuse and other risks. One major advantage is that the global developer community ensures constant further development and rapid elimination of vulnerabilities through regular updates.
One practical example is the "Adversarial Robustness Toolbox" - an open source AI security tool that helps companies to protect AI models against unusual or hostile inputs. This allows manipulation to be recognised and fended off at an early stage.
In short, open source AI security tools offer a cost-effective and transparent way to increase the security of artificial intelligence while benefiting from collective expertise.















