Runtime Agent Action Containment
Stateful policy engines, control-theoretic throttling and boundary-breach testbeds enforce and measure the limits of what an autonomous agent may actually do at execution time.
Developed mainly in: United StatesImpacting: North America, Europe and China
Researchers Corinn Tiffany, Wen Zhang, Eugene Bagdasarian and Lillian Tsai published Sapien, a runtime policy engine that constrains AI agent tool-call sequences using regular expressions extended with stateful predicates, deferred policy generation and scoped semantic checks. Against fully hijacked agents it blocked 93-95% of AgentDojo attacks and 62-85% on Toolathlon, with only a few percent uti…
This is one of 24 signals scored in our latest scan.
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First flagged
1 October 2026 · score 5.0/10
Corroborating sources since flagging
22
Latest signals
Tracked from 4 signals, each traced to its source.
- Rule-based runtime guardrail framework for LLM agents presented at ICSE 2026
Dl · 9 Oct 2026
- Preprint proposes control-theoretic guardrail framework that throttles agentic AI autonomy under rising risk
Arxiv · 8 Oct 2026
- Stateful policy engine blocks most hijacked AI agent tool calls in benchmarks
Roboticscenter · 6 Oct 2026
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