Question: Can you recommend an AI solution that reduces reliance on cloud servers and minimizes data breach risks?

For a more mature AI-based data security solution that also helps you avoid data security problems and reduce reliance on cloud servers, Nightfall is a good option. It's a data leak prevention platform that uses machine learning to protect sensitive data in SaaS and cloud applications. It includes data encryption, data exfiltration prevention and compliance management, and has high accuracy and low false positives. It's a good choice for companies that want to reduce the risk of data breaches and ensure compliance with regulations like HIPAA and GDPR.

Another option is Varonis, which offers a unified SaaS platform for automated data security. It includes data discovery, threat detection, policy automation and a host of AI-powered security tools. Varonis supports large cloud and on-premises environments, providing real-time visibility and proactive threat detection. It's a good option for companies that want to get a better view into their data and automate remediation.

If you want a more complete cybersecurity solution, Darktrace is worth a look. It uses self-learning AI to detect and respond to cyber attacks in real time, offering real-time threat detection and automated response. Darktrace's platform is flexible and scalable for companies of all sizes and industries, and can be integrated with existing tools for extra protection.

Last, BigID offers a next-gen data visibility and control platform that includes AI-powered security tools and more sophisticated machine learning. It's designed to handle petabyte-scale data, and offers end-to-end data management, compliance alignment and data privacy management. It's a good option for companies that want to improve their data security posture and comply with regulations.