Question: Can you recommend a solution that protects sensitive data when using large language models?

If you're looking for a way to keep sensitive information from leaking out when using large language models, Nightfall is an AI-native data leak prevention platform with high accuracy and low false positives to reduce data breaches and non-compliance. Nightfall supports over 100 file types and major SaaS applications, so it's a good choice for many organizations while also supporting major standards like HIPAA, PCI, GDPR, and more.

Another good option is ZeroTrusted.ai, which focuses on protecting data and privacy when using large language models. Its LLM Firewall keeps prompts anonymous and validates results to avoid hallucinations and other suspicious activity. It also works with LangChain tools and Zapier, and offers several pricing options for different organizational needs, so it's a good option for tech startups and cybersecurity companies.

For an enterprise-level solution, ClearGPT could be a good choice. It's designed for internal use and is geared to address security, performance and data governance concerns. With features like role-based access, data governance and continuous fresh data for adaptive AI, ClearGPT prevents data leakage and gives you the most control over sensitive data, so it's a good option for companies that want to take advantage of AI innovation without data risks.

Last, Varonis is an all-in-one SaaS platform for automated data security. It offers comprehensive solutions for data discovery, threat detection and policy automation across many cloud and on-premises environments. Varonis supports many applications and cloud platforms and offers customized protection packages, so it's a good option for organizations that need detailed data visibility and automated remediation.