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: ai-governance
16 Million Distillation Attempts: Inside the OpenAI-Anthropic-Google Alliance Against AI Model Theft
On April 6, 2026, the three largest AI labs announced they are sharing intelligence to stop adversarial distillation by Chinese AI companies. Anthropic documented 16 million suspicious exchanges across 24,000 fraudulent accounts. Here is what adversarial distillation is, why it matters, and what the technical countermeasures look like.
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.



