token-flow-firewall-semantic-runtime-auditing-for-persistent-ai-agents-b31e93db·1 events·first seen Aliases: Token-Flow Firewall: Semantic Runtime Auditing for Persistent AI Agents
Researchers introduce TokenWall, a runtime defense framework that audits natural-language token flows in persistent AI agents before they reach privileged execution sinks. The system constructs source-sink audit records, applies lightweight local inspection, and escalates ambiguous cases to stronger arbitration modules. On CIK-Bench, TokenWall reduces attack success rate to 12.5% while maintaining a 97.4% benign pass rate and adding only 0.69 seconds of latency, demonstrating a practical security-utility tradeoff for long-lived agentic systems.