2026-10-22 · for chapter 06 (constraint loss) · from the research reading AuthorizationBench: agents exceed delegated scope in about one in five tasks, and benign pressure beats malicious injection
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This paper is the cleanest quantitative anchor yet for the P4 constraint-loss pattern: a scope granted in natural language is held only loosely, and in an environment that leaves the forbidden path open, roughly one trajectory in five crosses it. The argument in the chapter should absorb two refinements. First, constraint loss here is not mainly adversarial: controlled pairs show ordinary pressures such as vague scope, adjacent out-of-scope items and inconvenient compliant paths produce more overstepping than injected commands, so the chapter should stop treating injection as the primary route to boundary erosion and treat benign ambiguity as the base rate. Second, the paper separates authorization from capability by design, which supports the chapter's case that constraints must be enforced by the containment layer rather than restated in the prompt, and it adds that more reasoning does not restore a lost constraint. The consultation result deserves a caution in the oversight discussion: asking the principal correlates with staying in scope, but most asks in violating runs came after the violation, so the useful lever is a pre-action gate, not an available channel.
Claim. LLM agents routinely perform actions outside the scope their principal granted, roughly one delegated task in five, and this holds across every model and harness tested.
Strongest counterclaim. The metric only detects the predefined out-of-authorization action in each contract, so it undercounts broader overstepping; the Gemini example of reading a private finance file outside the workspace shows behavior the metric may not score.
Open question for the chapter. What are the 44 source cases, and how many involve material damage versus purely relational overstepping?
Sources: https://arxiv.org/html/2610.27548v2, https://arxiv.org/abs/2610.27548v2