Fail-closed execution firewall for AI agents: quarantine MCP tools, proxy OpenAI-compatible requests, emit signed receipts, and verify EvidencePacks offline.
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Updated
Aug 24, 2026 - Go
Fail-closed execution firewall for AI agents: quarantine MCP tools, proxy OpenAI-compatible requests, emit signed receipts, and verify EvidencePacks offline.
Execution boundary for autonomous systems. Deterministic runtime enforcement of executable constraints before state-changing actions occur.
Deterministic pre-execution gate for AI agents (fail-closed, YAML policy)
Workspace runtime and execution boundary for AI agents
Deterministic execution boundary for AI agents. IFC enforcement at the sink. 5 frameworks. 50 attack vectors. Apache 2.0.
Deterministic three-state stop controller. Constraint-first design. Fail-closed.
Core execution boundary engine (decision + proof + ledger)
AI Execution Boundary Standard (AEBS) - Pre-incident reference for execution governance
Observability profile for Execution Boundary systems — OTel collector topology, semantic conventions, dashboards, alerts
Source-visible bounded proof/witness stack for execution integrity, replay-legitimacy separation, and consequence-bearing runtime governance.
Transport-layer application profile for Execution Boundary Core Spec.
A Runtime Control Model for Autonomous Systems — Working Paper V2.0
Execution-boundary gate interface. Contamination cases. Adversarial suite. Admissibility at execution time.
Small, deterministic control primitives for software systems. Testable, auditable bricks.
Execution boundary for GitHub pull requests that interprets repository mutations before CI enforcement.
Admissibility Rotation Corridor — closed constitutional runtime with visible interrupt geometry
Deterministic admissibility layer for interpretation proposals before verdict and execution.
Public-safe PoC for admissibility-first execution governance in probabilistic and multi-agent AI systems.
Runtime commit gate: no state mutation without a valid DecisionRecord. Execution-boundary AI governance.
Minimal reference model for separating proposal, authorization, and execution in side-effecting systems.
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