Tool Access Control for LLM Agents

LLM: Large Language Model

Overview

This field studies how to ensure an LLM agent uses only the tools and permissions justified by a user's task, across settings such as APIs, browsers, coding environments, and MCP-based systems. Common approaches include task-scoped least-privilege policies, capability-based delegation, provenance and information-flow tracking, and runtime gateways that check calls before execution or commit; human approval is often reserved for consequential actions. Evidence shows that prompts and static tool allowlists can leave gaps, especially when calls change meaning across steps, permissions persist, or authorization is not bound to the exact action and current state. A central challenge is balancing strong, verifiable restrictions with useful autonomy, while evaluating both unauthorized effects and unnecessary denials in realistic, long-running workflows.

Latest papers

CardsList

222 papers42 papers in the last four weeks, up 8% on the four weeks before. 0.2% of all new papers.

  1. REALM: Identifying Minimal Task Assets for LLM Agents

    Oct 29, 2026Zihou Ren, Byungchul Tak, Long WangAI Agent SecurityTool Access Control for LLM Agents

  2. I-HITL: Inalienable Human-in-the-Loop

    Oct 26, 2026Samuel Breckenridge, Dani Vilardell, Wenhao Wang +2Human-in-the-Loop AIAI Agent Safety

  3. CoSA: The Conflict of Skills Attack in Real-World LLM Agent Ecosystems

    Oct 26, 2026Yujia Zheng, Tianhao Li, Shangzhi Xu +6LLM Agent SecurityLLM Agent Safety

  4. Task Success Is Not Enough: Side-effect-Aware Evaluation of Tool-Using Language Model Agents

    Oct 25, 2026Jiaju Huang, Shaobin Chen, Xinglong Liang +5LLM Agent EvaluationLLM Agent Safety

  5. Agentic AI Defense: Decode-Time Provenance Binding for MCP

    Oct 22, 2026Eric Yocam, Varghese Vaidyan, Paris Kalathas +3AI Agent SecurityPrompt Injection Attacks on AI Agents

  6. Certified Execution Harness for Agentic AI: Safe and Least-Intrusive Petri-Net Supervisory Control Between Reasoning and Action

    Oct 22, 2026Chao Gu, Quanyan ZhuTool Access Control for LLM AgentsRuntime Enforcement for AI Agents

  7. ClawMMU: Protection-Coherent Virtual Memory for Stateful LLM Agents

    Oct 20, 2026Jinhao Hu, Bardia Mohammadi, Mofasshara Binte Rafique +4AI Agent SecurityMemory Management for LLM Agents

  8. Local Allow, Global Deny: Why Per-Action Authorization Does Not Compose in LLM Agents

    Oct 20, 2026Anmol Pandey, Aditya Jain, Liang Chen +1LLM Agent SafetyTool Access Control for LLM Agents

  9. Agentic Orchestration of EDC Data Space Retrieval and Natural Language Driven Data Processing

    Oct 19, 2026Marla Grunewald, Fin Gentzen, Iulisloi Zacarias +1Multi-Agent OrchestrationTool Access Control for LLM Agents

  10. From Approval to Abuse: Privilege Escalation Attacks on Harness-Protected Coding Agents

    Oct 16, 2026Xianglin Yang, Yechao Zhang, Jiahao Liu +4AI Agent SecurityLLM Agent Harnesses

  11. Approve What, Exactly? Effect Binding and Trusted Rendering for Agent Step-Up Authorization

    Oct 15, 2026Sai Varun Kodathala, Prashanth Pollishetty, Jaylen CargillAI Agent SecurityTool Access Control for LLM Agents

  12. Beyond Maliciousness: Static and Runtime Attack-Surface Profiling of Agent Skills

    Oct 13, 2026Ratnesh Pandey, Japneet Singh, Harsh Akshit +2AI Agent SecurityAgent Skill Security Auditing

  13. Kairos: Transactional Security Enforcement at the System Boundary for LLM Agents

    Oct 13, 2026Kristoffer Hempel, Nils Loose, Lorenzo Cavallaro +1LLM Agent SecurityRuntime Enforcement for AI Agents

  14. The Agent Knew: Internal States Forecast Unauthorized Actions and Stop Them, and the Lies That Follow

    Oct 12, 2026Arya Fayyazi, Mehdi Kamal, Massoud PedramDeception in Language ModelsRuntime Enforcement for AI Agents

  15. AuthGateBench: Benchmarking LLMs as Authorization Gate

    Oct 12, 2026Zhixiong Zhuang, Jin Jia, Zhiwei Shang +1Tool Access Control for LLM AgentsAI Agent Safety Benchmarks

  16. Revocation Is Not Complete at Receipt: An Executable Outcome Contract for Distributed Agent-Tool Gateways

    Oct 11, 2026Lifei Liu, Haoran Yu, Danping ZhangRuntime Enforcement for AI AgentsAccess Control

  17. Constrained-Action AI Remediation for SIEM/XDR via a NeMo-Guardrails Proxy

    Oct 7, 2026Georgios Koutidis, Nikolaos Kekatos, Tom Nianios +1LLMs for CybersecurityTool Access Control for LLM Agents

  18. Multi-Aspect Runtime Verification for Simulation-Based V&V of LLM-Enabled Autonomous Agents

    Oct 6, 2026Nikolaos Kekatos, Dimitrios Nikou, Anastasios Temperekidis +4LLM Agent VerificationRuntime Enforcement for AI Agents