Enforcing Benign Trajectories: A Behavioral Firewall for Structured-Workflow AI Agents
Structured-workflow agents driven by large language models execute tool calls against sensitive external environments. We propose \codename, a telemetry-driven behavioral anomaly detection firewall. Drawing on sequence-based intrusion detection, \codename\ compiles verified benign tool-call telemetry into a parameterized deterministic finite automaton (pDFA). The model defines permitted tool sequences, sequential contexts, and parameter bounds. At runtime, a lightweight gateway enforces these boundaries via an $O(1)$ state-transition structural lookup, shifting computationally expensive analysis entirely offline. Evaluated on the Agent Security Bench (ASB), \codename\ achieves a 5.6\% mac...
| Authors | Hung Dang |
|---|---|
| Primary category | cs.CR |
| Published | 29 April 2026 |
| Last updated at source | 29 April 2026 |
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