The EU AI Act for AI Agent Builders
High-risk deadlines moved to 2027, but transparency obligations applied on 2 August 2026 — and they hit conversational …
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Governance & Operations
Frameworks for governing AI agents in enterprise environments. Risk management, observability, cost control, and avoiding the false economy of speed.
Who Owns the Agent? Team Topologies for AI
Agents fail organisationally before they fail technically. Who owns an agent in production, who is accountable for its …
Read articleCost Attribution for AI Agent Fleets
A single API bill for fifty agents is not a cost model. How to attribute spend per agent, task, and tenant — and build …
Read articleEvaluating AI Agents: Evals That Predict Production
Benchmarks tell you a model is capable. Evals tell you your agent works. How to build golden datasets, LLM judges, and …
Read articleAgentic Governance: A Practical Guide to Governing AI Agent Systems
How do you govern AI agents in production? From API governance and security to observability and lifecycle management, a …
Read articleAI Agent Security in 2026: 88% of Enterprises Report Incidents
Gravitee’s 2026 survey of 919 enterprises reveals a dangerous gap: 88% report AI agent security incidents, yet …
Read articleAgent Lifecycle Management: From Development to Decommission
Building an agent is the easy part. Managing it through development, testing, deployment, monitoring, updating, and …
Read articleObservability for AI Agents: Beyond Traditional APM
Traditional APM breaks down when agents make autonomous decisions across multi-step tool chains. Here’s what …
Read articleAPI Governance for AI Agents: How to Avoid Agentic Technical Debt
When every team can deploy an agent, API governance becomes the difference between compounding value and compounding …
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