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.
As AI agents reach into enterprise systems, the question is not whether they can connect, but whether they do it without bypassing your security controls. Here is how Nexla keeps MCP access tied to each user’s identity and credentials, and lets your systems keep enforcing their own policies.
The agent didn’t give a wrong answer because the model was weak. It gave a…
MCP Tool Bench is a controlled way to benchmark MCP server design. We put Nexla’s task-specific MCP servers against off-the-shelf ones on real BigQuery tasks, in two harnesses, and measured the agent effort each demanded.
