Archive for Feb 2026

5 entries

Childproofing the Control Plane: Using Cedar to Build Frontal Lobes for Agentic Systems

Wed Feb 25 08:55:00 2026

Connecting an agent like OpenClaw to Home Assistant can make home automation more adaptive and intelligent, but it also introduces real risks if authority is not clearly bounded. By externalizing decision logic into deterministic Cedar policies, we can create governed autonomy that allows agents to act usefully while preventing them from crossing safety, security, and privacy boundaries.
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Beyond Denial: Using Policy Constraints to Guide OpenClaw Planning

Wed Feb 18 14:51:00 2026

OpenClaw agents plan, adapt, and act over time, so authorization that functions merely as a reactive gate isn't the best architecture. In this post, I show how integrating Cedar's query constraints and Typed Partial Evaluation lets OpenClaw discover what is allowed before acting. The result is an agent that plans within policy-defined boundaries while still enforcing every concrete action at runtime.
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A Policy-Aware Agent Loop with Cedar and OpenClaw

Wed Feb 11 09:37:00 2026

This article demonstrates how to move authorization inside the agent loop by inserting a Cedar-backed policy decision point into OpenClaw, so that every tool invocation is evaluated at runtime. Instead of acting as a one-time gate, authorization becomes a continuous feedback signal that guides replanning and enforces Zero Trust principles for agentic systems.
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SEDI and Client-Side Identity

Wed Feb 4 10:12:00 2026

Client-side certificates were technically sound in the 1990s, but they failed because individuals weren't willing to pay for identity proofing. SEDI fixes that economic flaw by providing a state-endorsed, high-assurance digital identity to anyone who wants one, creating a durable foundation for secure online transactions and future digital credentials.
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Why Authorization Is the Hard Problem in Agentic AI

Mon Feb 2 12:23:00 2026

Agentic AI systems expose the limits of static authorization models, which assume permissions can be decided once and remain valid over time. As agents plan, act, and replan, authorization must become a continuous feedback signal that constrains behavior at each step rather than a one-time gate. Dynamic, policy-based authorization enables delegation to be enforced through purpose, scope, conditions, and duration, turning denial into a productive signal that guides replanning instead of a terminal failure.
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