New spend controls can pause eligible AI services, but sustainable GenAI economics still requires attribution, unit costs, anomaly response, and product-level accountability.
Control the AI Burn: A Practical Guardrail Playbook for GenAI Costs Before They Spike Read Post »
Predictive maintenance creates value when IoT evidence, operational context, human judgment, and measurable maintenance outcomes form one governed loop.
AI Predictive Maintenance That Operators Can Use: From IoT Signals to Governed Action Read Post »
Continuous AI-assisted security becomes trustworthy when discovery agents are separated from structural validation, sandboxed reproduction, and reviewed remediation.
Agentic Code Security: Pair AI Discovery with Deterministic Proof and Human Review Read Post »
A practical framework for deciding when to use a managed agent runtime—and how to govern sessions, tools, sandboxes, observability, and cost.
Managed AI Agents: When a Long-Running Agent Runtime Becomes the Right Architecture Read Post »
A practical control model for moving AI agents from promising demonstrations to measurable, governed production workflows.
Enterprise AI Agents Need an Operating Model, Not Just Better Prompts Read Post »
