Question: How can I ensure that my gaming or AI application is protecting user data while still unlocking its value?

If you're looking for a data layer that protects user data while also powering your gaming or AI workloads, CARV is a modular data layer that puts privacy, ownership and control first. It's designed to ensure data flows reliably and securely, and is well-suited for use cases that demand high data privacy.

For AI-native data leak prevention, Nightfall is a more comprehensive option. It detects, classifies and protects sensitive data in SaaS and cloud applications, using machine learning for high accuracy and low false positives. The platform supports compliance with major standards like HIPAA and GDPR, and offers flexible pricing tiers for different organizational needs.

Another option for Generative AI security is ZeroTrusted.ai. Specifically designed for large language models, it includes an LLM Firewall that keeps sensitive information private by anonymizing prompts and validating results. The service is integrated with tools like LangChain and Azure Marketplace, offering strong security and privacy.

ClearGPT is another option, an enterprise-grade platform that uses generative AI but also protects data and intellectual property. It has role-based access and data governance, a human reinforcement feedback loop, and continuous fresh data for adaptive AI. ClearGPT runs on a private network, with zero data leakage and maximum control over sensitive data.