Agentic AI Will Scale Only When the Control Plane Scales First
Enterprise agent adoption is accelerating, but reliable value depends on identity, policy, observability, recovery, and workflow ownership outside the model.
Read analysis TOPIC BRIEFING
PAGE 1 OF 2
AI Engineering
Hands-on guides for agents, RAG, evals, LLMOps, inference, and production AI systems.
START HERE
Essential guide
Production AI Agent Security: A Threat Model and Deployment Checklist
Read guide
A practical security architecture for AI agents with tools, files, credentials, memory, and network access, from trust boundaries to incident response.
LEAD STORY
Latest in this topic
03 STORIES
More Coverage
DNSid Can Name an AI Agent. It Cannot Decide What the Agent May Do
Vint Cerf backs a DNS-based identity proposal for AI agents. Production trust still requires scoped permissions, logs, ownership, and a kill switch.
Google Made Qwen 397B Up to 4.7x Faster Without Training a New Model
Google's Ironwood optimization work shows how sharding, fused kernels, and memory-aware serving can change the economics of a frontier-scale open-weight model.
Bonsai 27B Runs on an iPhone: The Case for Emergency and Hybrid AI
PrismML compressed a 27B model to 3.9GB. Its strongest use may be a private assistant that keeps working when connectivity disappears.
GhostApproval and Friendly Fire Expose the Trust Problem in AI Coding Agents
Two new attack patterns show how malicious repositories can turn coding agents, approval dialogs, and automated security reviews against developers.