Agentic AI Governance, Data, and Identity Are Core Product Concerns
What happened
The true revolution in artificial intelligence is operational, driven by agentic AI, which allows users to create and connect agents to business applications. This shift, however, introduces significant governance challenges, data integrity risks, and security concerns, demanding a robust framework that treats each agent as a digital employee with defined missions and access rights.
Why it matters
The operational shift to agentic AI introduces critical governance, data integrity, and identity risks, making a robust framework that treats agents as digital employees with defined missions and access rights essential for managing uninsurable balance-sheet liabilities and preventing uncontrolled sprawl.
Topics
- Agentic AI
- AI Governance
- Data Security
- Identity Management
Articles in this trend
- # Governance, Data, Identity: The 3 Pillars for Mastering Agentic AI — JDN : Derniers contenus
- When Analytics Stops Being a Dashboard: How Agentic AI Is Changing the Way Businesses Use Data — The AI Journal
- What the great universities teach us about sovereign AI, and who really owns the agentic record — Information and Enterprise Technology News | CIO Dive - Www.ciodive.com
- Why Agentic AI Governance Becomes Your Core Product — Towards AI - Medium
- From MCP Sprawl to a Trusted Control Plane: Snowflake’s Cortex AI Gateway — Data Engineering on Medium