Runtime Governance: The Missing Layer for AI Agents in 2026

Hi Everyone, 2026 is shaping up to be the year AI agents go mainstream. Companies are pouring money into them, but there's a massive roadblock holding back real adoption: governance. There's a clear tension in every organization I talk to: * Teams want autonomous agents that can actually *do work,* handle tasks, use tools, interact with data. * Legal, compliance, and risk teams are terrified of letting uncontrolled agents loose on their networks and sensitive information. The old approach doesn’t work anymore. Most companies still rely on static GenAI policies sitting on an intranet or SharePoint. Those are useless when you have agents autonomously making decisions and taking actions. What we actually need is runtime governance, a live middleware layer that evaluates proposed actions in real time, enforces policies before execution, audits outcomes, and prevents drift over time. That’s exactly why I started building SAFi (Self-Alignment Framework Interface) over two years ago. SAFi is a fully open-source runtime governance engine that turns any LLM into a governed, auditable agent. Look at my profile for the GitHub code.