Governed MCP implements kernel-level governance for MCP tool calls in AI agents through a 6-layer pipeline including ProbeLogits semantic verification, with an ablation showing F1 drop from 0.773 to 0.327 without it and structural prevention of userspace bypasses.
LangChain: Building Applications with LLMs through Composability,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ProbeLogits performs single-pass logit reading inside the kernel to classify LLM agent actions as safe or dangerous, reaching 97-99% block rates on HarmBench and F1 parity or better than Llama Guard 3 at 2.5x lower latency.
citing papers explorer
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Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety Primitives
Governed MCP implements kernel-level governance for MCP tool calls in AI agents through a 6-layer pipeline including ProbeLogits semantic verification, with an ablation showing F1 drop from 0.773 to 0.327 without it and structural prevention of userspace bypasses.
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ProbeLogits: Kernel-Level LLM Inference Primitives for AI-Native Operating Systems
ProbeLogits performs single-pass logit reading inside the kernel to classify LLM agent actions as safe or dangerous, reaching 97-99% block rates on HarmBench and F1 parity or better than Llama Guard 3 at 2.5x lower latency.