AI solutions can be kept secure by implementing strong encryption methods, regularly updating security protocols, and conducting thorough security audits. To ensure personal information and intellectual property don't go into model training, data anonymisation and strict data governance policies should be enforced. Additionally, different deployment options such as on-premises, cloud-based, and hybrid solutions, allow organisations to choose the best fit for their security needs and data privacy requirements.