Insights, Ideas, and AI Innovations

Learn how AI agents can meet EU AI Act, NIST AI RMF and OWASP GenAI security requirements with practical governance and compliance controls.

From 'AI does the work of 700 agents' to a hybrid Uber-style workforce — the full Klarna arc, diagnosed as an infrastructure failure, with a Prevention Stack mapping for teams scaling AI today.

Agent memory has three failure modes nobody talks about: corruption, confabulation, and calcification. You're not solving context. You're building a new attack surface.

What is the agent kernel? The missing infrastructure layer every AI agent deployment needs for runtime governance, execution bounds, and reliability.

Observability shows you the fire. The Prevention Stack stops it. Four runtime components with specific defaults for AI agent governance.

How AI agent reasoning actually works: the Think, Act, Observe loop explained with code, failure points at each stage, and why traces miss what matters.

AI agent observability shows what happened — but can't prevent what shouldn't. Learn why agents need runtime governance on top of tracing and evaluation.

30+ CVEs in 8 weeks. Only 2.5% of MCP servers meet basic security standards. This guide uses the OWASP MCP Top 10 to show what threats are out there and how to protect against them.

260 McNuggets on one order and every trace showed success. A forensic look at AI agent business logic failure and how to stop it.

How an AI agent infinite loop burned $47K in 11 days — a forensic reconstruction showing the mechanics of runaway execution and the controls that stop it.

Discover the 5 AI agent failure modes causing production incidents, from context blindness to runaway execution, with detection signals and prevention patterns.

Research status: This article picks out 100 incidents from a dataset of more than 500 documented AI agent failures that…