Question: What are some security foundation blocks that can help me build compliant and secure cloud applications using large language models?

If you want to build compliant and secure cloud applications with large language models, ZeroTrusted.ai is a notable option. It includes an LLM Firewall that can be used to anonymize prompts, validate results, and stop hallucinations. It works with the LangChain tools and Zapier, and its tiered pricing options are designed for different organizational sizes, so it's good for tech startups and cybersecurity companies.

Another good option is ClearGPT, which is geared for enterprise customers. It's a secure environment that addresses security, performance and cost concerns. It has features like role-based access controls, data governance for privacy and continuous data refreshment. ClearGPT runs on a private network with no data leakage and IP protection, so it's good for companies that want to bring AI to all their enterprise groups.

If you want a broader collection of security features and compliance tools, check out Credal. This service is geared for building AI applications with security, access controls and compliance built in. It supports workflows, enterprise search and AI chat with point-and-click integration and detailed auditing. Credal is good for companies that have to comply with GDPR and HIPAA.

Last, Nightfall is an AI-native data leak prevention service that's good at finding, classifying and protecting sensitive data. It's got strong controls like data encryption, exfiltration prevention and support for major regulatory standards like HIPAA and GDPR. Nightfall is a lightweight service that can be installed in minutes to prevent data leaks and ensure compliance with a wide range of SaaS applications.