AI Research
Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery
Balancing tool-use autonomy with granular security through dynamic, role-scoped capability management.
Large Language Model (LLM) agents struggle to scale safely when exposed to vast enterprise toolsets. Providing an agent with access to every internal tool leads to oversized context windows, degraded tool selection, and severe governance vulnerabilities - as system policies defin...
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ArXiv CS.AI
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ArXiv CS.AI
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Progressive skill discovery prevents agents from over-accessing enterprise systems by gating capabilities based on context-specific needs. This methodology enhances security by enforcing structural governance that limits the attack surface of large-scale LLM deployments.
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