
AI Agent Governance: What to Prepare for as AI Enters Your Stack
AI agents are here, and they’re not just suggesting actions. They are taking actions as well, on their own! The question is: who’s governing them?
Check out our blog for our latest thoughts on data, AI, and digital products.
Explore topics
AI agents are here, and they’re not just suggesting actions. They are taking actions as well, on their own! The question is: who’s governing them?
Anonymizing unstructured data like medical records or legal documents is much harder than with structured data. The primary challenge is identifying sensitive information (PII) within free-form text, which can be obscured by jargon, abbreviations, and OCR errors. This guide explores the viable approaches, from simple rule-based systems to advanced Machine Learning and hybrid models.
An operational intelligence layer, the ontology, models relationships of entities and actions, enabling “digital twins” for organizations.
We’ve put together a simple guide on what we believe is a must have security functionality: anonymizing structured data effectively. Let’s ensure your data is both perfectly secure and fully usable for business operations.
Open-source solution unifying data and AI governance across platforms, from the perspective of a data intelligence engineer.