Question: Is there a modular data layer that allows for efficient data management and trustworthiness?

If you're looking for a modular data layer that makes it easy to manage data and trust it, CARV is a good option. It's designed for data privacy, ownership and control, which could be useful for gaming and artificial intelligence work. CARV's focus on data flows that are reliable and secure means you can trust that your data is in good shape and easy to use.

Another interesting project is Hex, an AI-infused collaborative workspace for data teams. It lets you explore data on modular canvases using SQL, Python, R and other languages, and it can use AI to generate queries and create visualizations. Hex also has enterprise-level security controls, including SOC2 and HIPAA compliance, so it's a good choice for collaborative data analysis.

OneTrust is a trust intelligence platform that spans privacy, data governance and security across an organization. It's got a lot of data management abilities, like data discovery, enrichment and risk assessment. OneTrust's automation and regulatory compliance abilities help ensure an organization's data privacy and security.

For real-time protection, Streamdal builds privacy controls straight into application code. It can monitor and block unauthorized exposure of PII with composable preprocessors and postprocessors. Streamdal's open-source foundations and serverless processing make it a fast, low-cost way to optimize data pipeline operations.