New research shows enterprises granting excessive access to AI agents experience 4.5 times more security incidents. Traditional IAM does not work for autonomous systems that make dynamic access decisions. This article covers the identity gap, real incident patterns, and practical least-privilege patterns for AI agents.
Tag: agentic-ai
AI Agents Now Create 80% of New Databases on Databricks - What That Means for Data Engineers
Databricks reports that AI agents - not humans - spin up the majority of new databases across 20,000+ customer environments. Multi-agent workflows grew 327% in four months. Here is what this shift looks like day-to-day and how the data engineer role is evolving from builder to architect.
How Meta Built 50 AI Agents to Map Tribal Knowledge Across Its Data Pipelines
Meta published details on a system that uses 50+ specialized AI agents to auto-document its massive internal data platform - going from 5% to 100% code module coverage. A technical deep-dive into what tribal knowledge really costs and how one of the world's largest data organizations tackled it.
Why 78% of AI Agent Pilots Never Reach Production - And What Actually Fixes It
A March 2026 survey of 650 enterprise tech leaders reveals that most AI agent projects stall between pilot and production. This article breaks down the five real blockers - quality, integration, orchestration, latency, and governance - with engineering patterns that address each one.




