AI tools are available.  What do you need to do to prepare your organization for staying safe:

Train employees in AI security: Employees should have training in the importance of AI security and how to identify and respond to potential security threats.

Understand the risks: AI has the potential to revolutionize the way businesses operate, but it also comes with risks. The major data privacy risk areas and problems related to AI include reidentification and deanonymization, discrimination, unfairness, inaccuracies and bias, opacity and secrecy of profiling, and data exploitation. It is important to be aware of these risks and take steps to mitigate them.  Be sure you know what tools are allowed to access the

Build privacy protection into systems: One of the most important steps you can take to protect your business data is to build privacy protection into your AI systems from the outset. This means ensuring that data protection is a core part of your system design and that you are using privacy-preserving techniques such as differential privacy.

Conduct a Data Protection Impact Assessment (DPIA): Anyone processing personal data has a duty to assess the impact of their processing activities on the privacy of individuals. A DPIA is a tool that can help you identify and minimize the data protection risks of your AI system.

Establish appropriate security policies: Security policies should be established to ensure that AI systems are secure, and that data is protected. This includes policies around access control, data retention, and data sharing.

Stay up to date with the latest developments: AI is a rapidly evolving field, and it is important to stay up to date with the latest developments in AI security. This includes keeping up with the latest research, attending conferences and workshops, and engaging with other professionals in the field.