Topic

Decision Budgets

Decision budgets are resource allocation frameworks that limit the number, scope, or cost of automated decisions an AI system can make within a defined period. They help organizations maintain human oversight and control by preventing AI systems from making too many consequential decisions without explicit approval or review. For enterprise AI governance, decision budgets are critical for managing liability, ensuring compliance with regulatory requirements, and preventing drift where autonomous systems gradually make decisions beyond their intended scope.

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ResearchGlobal2026-06-17

AI agent governance: why least privilege no longer solves the problem

Zenity reported that least privilege alone fails for agentic AI because agents can act outside their intended purpose while staying within their permission set. The report advocates for 'least agency,' decision budgets, and runtime scoping as the missing governance layer to constrain autonomous actions. Teams must define behavioral authorization rules and map runtime scoping to high-risk workflows to prevent unauthorized tool use.

Least Privilege Failure Least Agency Runtime Scoping Decision Budgets