Agentic Runtime Governance
The components of a governable AI system, and the sequence for building them.
Each pillar addresses a failure mode the others cannot catch.
Runtime Verification
Did this output earn trust before it acted?
A verification layer sits in the production path between generation and action. It assesses the conditions under which the output was produced — not whether it looks right, but whether the conditions for producing right outputs were present.
Read the essay →Decision Provenance
Who authorized this, and how close was a human?
Authority chains trace the full path from originating human through any delegation to executing agent. Human proximity classifies each action from DIRECTED to AUTONOMOUS — producing the governance record compliance and oversight require.
Read the essay →Evidence-Bound Authorization
Was this specific action justified by evidence?
Agents hold no standing permissions. Every tool invocation earns a parameter-bound token through verifiable evidence. The authorization surface matches the evidence surface — not the capability surface of the system.
Read the essay →Behavioral Topology
Is this sequence of actions safe as a trajectory?
Individual actions can each be authorized while composing into an unauthorized trajectory. Behavioral Topology monitors the agent's path against validated operational patterns — catching what individual-action authorization cannot.
ACTIVE RESEARCH Read the research →Phase 1 accumulates the session record and trajectory data that Phase 2 enforces against.
Observability & Visibility
Instruments the production path. Builds the session record and authority chain that Phase 2 requires.
- Runtime Verification Generation conditions verified before every consequential action
- Decision Provenance Authority chains and human proximity recorded for every action
Enforcement & Governance
Architectural changes that remove standing permissions and introduce trajectory monitoring. Requires Phase 1 infrastructure as its foundation — the session store and trajectory data Phase 1 accumulates.
- Evidence-Bound Authorization Every tool invocation earns a scoped, single-use token
- Behavioral Topology Agent trajectories monitored against validated operational patterns
For implementation engagements.
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