Beyond Compliance: Why Privacy is the Foundation of Trustworthy AI
While it is true that AI offers enormous opportunities for innovation and success, its reliance on personal data raises urgent concerns about privacy, ethics, and governance
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.
While it is true that AI offers enormous opportunities for innovation and success, its reliance on personal data raises urgent concerns about privacy, ethics, and governance
Nexla, the leading integration platform for AI applications, today announced the launch of Express, a conversational data engineering platform that makes it simple for anyone to work with data.
Nexla contributes key innovations from its cutting-edge agentic AI framework to the open source community, reinforcing its commitment to advancing enterprise-grade AI technology.