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Runeward: Sandboxing AI agents with policy gates

Runeward: Sandboxing AI agents with policy gates

by tha_infra_guy·Jul 12, 2026·1 point·0 comments

AI Analysis

●●SolidShip ItSolve My Problem

Tamper-evident audit ledger and cost guardrails for autonomous AI agents.

Strengths
  • Hash-chained, ed25519-signed ledger provides verifiable, tamper-evident audit trails for agent actions.
  • Deny-by-default network egress with SNI allowlists prevents accidental data exfiltration or API burns.
  • Supports both Docker for local dev and Kubernetes CRDs for production multi-tenant fleets.
Weaknesses
  • Competes with emerging standards like Model Context Protocol (MCP) security extensions and CAG.
  • Complexity of Rego/CEL policies may be overkill for simple local agent experimentation.
Category
Target Audience

DevSecOps engineers, AI platform builders, Enterprise security teams

Similar To

CAG (Contextual AI Governance) · LLM Guard · Rebuff

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