Question: How can I use AI technology without compromising customer data privacy?

If you need a way to use AI technology without sacrificing customer data privacy, Credal is worth a look. The platform lets companies create secure and compliant AI applications using their own data. With built-in security, access controls and compliance features like automatic redaction of personally identifiable information and detailed auditing, Credal ensures your AI solutions are GDPR and HIPAA compliant. The platform also comes with point-and-click integration with a variety of data sources and a range of pricing tiers for companies of different sizes.

Another good option is ZeroTrusted.ai, which is geared specifically for protecting data privacy when using large language models (LLMs). The LLM Firewall protects prompt anonymity, optimizes prompts and validates results to prevent data leaks. The service can be integrated with LangChain tools, Zapier and the Azure Marketplace, so it's a good option for companies that have sensitive data like PII, PHI and PCI. Pricing tiers range from $19.99 per month for individuals to custom enterprise deals.

If you want a more enterprise-focused option, check out ClearGPT. It's built on generative AI and Large Language Models like ChatGPT but is designed for internal enterprise use, so you get the most control and corporate IP protection. ClearGPT has role-based access, data governance and continuous fresh data for adaptive AI, all running on a private network to stop data leakage. It's good for companies that want to boost productivity and innovation without sacrificing data security.