Unstructured data—comprising documents, emails, collaboration files, cloud storage, and more—makes up the majority of enterprise data today. Unlike structured data stored in databases, unstructured data is harder to …
The Emergence of Agentic AI Governance Artificial Intelligence (AI) has evolved rapidly, demanding new governance frameworks that balance innovation with responsibility. Traditional governance models rely on static policies …
AI innovation continues to impress, and in 2025, we’re looking ahead at the next big thing — AI Agents. These intelligent systems are emerging as the next transformative …
Detect and Manage Shadow AI with BigID In today’s fast-moving AI landscape, a hidden risk is growing: the rise of Shadow AI—unauthorized, unapproved, and unmanaged AI operating within …
Organizations face mounting pressure to establish consistent governance across their data and AI assets. Meeting these complex requirements while enabling innovation challenges even the most sophisticated enterprises. In …
Artificial intelligence is not just a buzzword—it’s the driving force behind transformative change in virtually every industry. From healthcare to finance, retail to manufacturing, AI is at the …
What is the AI Lifecycle? The AI lifecycle encompasses the complete process of developing and deploying artificial intelligence systems. It starts with data collection and moves through stages …
Data Privacy Governance Best Practices: A Comprehensive How-To Guide for Privacy Leaders In an era where data breaches and privacy concerns dominate headlines, effective data privacy governance is …
The Basel Committee on Banking Supervision (BCBS) introduced BCBS 239, a regulatory response to the 2008 financial crisis. The interdependence between global systemically important banks (G-SIBs) highlights the …
Data Access Governance: Control and Monitor Access to Sensitive Data Protect your mission-critical data from prying eyes with data access governance. Learn how it can help you manage …