AI Agent Rules Need Context and Layered Enforcement (ActPlane/eBPF)
Source: https://eunomia.dev/blog/2026/07/15/ebpf-ai-agent-policy-enforcement/
Author: yuxi4096
Date: 2026-07-15
Summary (Chinese)
从 64 个仓库、84 个 instruction files、2,116 条语句出发，拆出 83% 的 policy 属于 system-observable、45% 可由 OS 层机制执行，但 64.2% 需要项目上下文。用 agent-writable、OS-enforceable 的 DSL 编译规则，结合 eBPF-LSM，在 trace benchmark 上达到 75.8% decision compliance。核心发现：开发者不缺规则，难点在于把自然语言要求变成系统可观察、可评估的状态。
Summary (English)
From 64 repos, 84 instruction files, 2,116 statements: 83% of policies are system-observable, 45% enforceable by OS-layer mechanisms, but 64.2% require project context. Uses agent-writable, OS-enforceable DSL compiled to eBPF-LSM rules, achieving 75.8% decision compliance on a trace benchmark. Key finding: developers are not short of rules; the difficulty is turning natural-language requirements into observable, evaluable system state.
One-liner
64.2% 的 agent 规则需要项目上下文，单靠 OS hook 执行不够
*Imported from Obsidian digest notes on 2026-08-01. Content grounded in fetched source metadata via opencli.*