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Morning Edition · Monday, October 5, 2026Published at 2:00 AM EDT · New York
MIRROR paper defends multi-agent systems against agent-in-the-middle tampering as harnesses hand routing and injection checks to fast single-pass models
A companion arXiv study audits the single-pass "System-1" models that harnesses use to choose tools and flag injected instructions. OpenAI announced a Decisions API for this same layer of bounded decisions at its DevDay event.
Multi-agent LLM systems pass messages between agents. Those messages form an attack surface that current defenses largely ignore. That is the argument of MIRROR: Multipath Quorum Integrity for LLM Multi-Agent Communication, posted to arXiv…
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Part of a tracked trend
The Agent Skill Supply Chain Becomes an Attack Surface
As agents load third-party skills, tools and MCP servers at runtime, the gap between what a skill advertises and what it actually does becomes a recurring security failure mode, driving registries, attestation and zero-trust verification into the agent stack the way package signing came to software repositories.
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