Data Governance must be a central tenet of any organization’s data operations. That means carefully and intentionally handling data that contains Personally Identifiable Information (PII) and other sensitive classes of data. However, achieving this is easier said than done.
Nexla makes it easy by giving the tools to manage governance and access to everybody, so that complicated procedures such as hashing data into encrypted string, slicing specific segments of data for specific users, and sharing access is straightforward and takes minutes. In Nexla’s new feature spotlight, we follow an example of managing a dataset with sensitive information — customer’s social security numbers — through hashing, creating different slices, and ultimately sharing to the analysts who need it.
Check out the demo in the video above. We’ll see you in the next feature spotlight, where we’ll dive into another essential aspect of Nexla and show how all users are enabled to manage data. In the meantime, check out another demo or request your own meeting to try Nexla yourself.
A data platform for AI agents must do 7 things: connect, abstract, govern, deliver, act, observe, secure. Use this checklist to evaluate any vendor or stack.
Give AI agents secure access to enterprise data without rebuilding your stack. Compare DIY vs. managed paths, see a 1-week vs. 12-week timeline, pick what fits.
Agentic RAG replaces static retrieval with planning, tool use, and reflection. See the architecture, when to choose it over RAG, and metrics that actually matter.
