Token-Flow Firewall: Semantic Runtime Auditing for Persistent AI Agents
- 类型:arxiv
- 标识:2607.08395
- 链接:http://arxiv.org/abs/2607.08395v1
- 主分类:agent
- 形态:method
- 被引:1
- 被引来源:Semantic Scholar
- S2被引:1
- OpenAlex被引:0
- 影响力被引:0
- TLDR:TokenWall is proposed, a runtime defense framework that acts as a semantic firewall over agent token flows, demonstrating that semantic runtime containment can achieve a practical security-utility trade-off for persistent AI agents.
- OpenAlex ID:W7167931531
- OpenAlex DOI:10.48550/arxiv.2607.08395
- DOI:10.48550/arxiv.2607.08395
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://doi.org/10.48550/arxiv.2607.08395
- OpenAlex更新:2026-07-19
- 待LLM分类:否
- 标题中文:Token-Flow Firewall:面向持久化 AI Agents 的语义运行时审计
- TLDR中文:提出 TokenWall,一种作用于 agent token 流的语义防火墙式运行时防御框架,证明语义运行时约束可在持久化 AI agents 上实现实用的安全性与效用性权衡。
- 来源文件:
- /inbox/tom/_candidates/2026-07-10-agent-rag-longcontext-candidates.json
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- /inbox/tom/_candidates/2026-07-11-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-07-12-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-07-13-agent-rag-longcontext-candidates.json
- [OpenAlex backfill]