:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kaufman, Adam, Lucassen, James, Tracy, Tyler, Rushing, Cody, Bhatt, Aryan
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	https://arxiv.org/abs/2512.15688
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LinuxArena: A Control Setting for AI Agents in Live Production Software Environments
by: Tracy, Tyler, et al.
Published: (2026)

Progent: Securing AI Agents with Privilege Control
by: Shi, Tianneng, et al.
Published: (2025)

Attack Selection Reduces Safety in Concentrated AI Control Settings against Trusted Monitoring
by: Schaeffer, Joachim, et al.
Published: (2026)

SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents
by: Kutasov, Jonathan, et al.
Published: (2025)

Security Risks in Tool-Enabled AI Agents: A Systematic Analysis of Privileged Execution Environments
by: Goel, Hardik
Published: (2026)

SLEIGHT-Bench: A Benchmark of Evasion Attacks Against Agent Monitors
by: Najt, Elle, et al.
Published: (2026)

MonitoringBench: Semi-Automated Red-Teaming for Agent Monitoring
by: Jotautaitė, Monika, et al.
Published: (2026)

Evaluating Privilege Usage of Agents with Real-World Tools
by: Zhang, Quan, et al.
Published: (2026)

Do Coding Agents Understand Least-Privilege Authorization?
by: Yan, Zheng, et al.
Published: (2026)

MiniScope: A Least Privilege Framework for Authorizing Tool Calling Agents
by: Zhu, Jinhao, et al.
Published: (2025)

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents
by: Probst, Benjamin, et al.
Published: (2026)

Agent Privilege Separation in OpenClaw: A Structural Defense Against Prompt Injection
by: Cheng, Darren, et al.
Published: (2026)

Factor(T,U): Factored Cognition Strengthens Monitoring of Untrusted AI
by: Sandoval, Aaron, et al.
Published: (2025)

Post-Training Local LLM Agents for Linux Privilege Escalation with Verifiable Rewards
by: Normann, Philipp, et al.
Published: (2026)

AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
by: Li, Changyi, et al.
Published: (2026)

Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning
by: Wang, Cheng, et al.
Published: (2024)

Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
by: Kim, Juhee, et al.
Published: (2025)

LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks
by: Happe, Andreas, et al.
Published: (2023)

Accelerating AI Development with Cyber Arenas
by: Cashman, William, et al.
Published: (2025)

Securing AI Agents with Information-Flow Control
by: Costa, Manuel, et al.
Published: (2025)

Enterprise AI Must Enforce Participant-Aware Access Control
by: Bhatt, Shashank Shreedhar, et al.
Published: (2025)

From Firewalls to Frontiers: AI Red-Teaming is a Domain-Specific Evolution of Cyber Red-Teaming
by: Sinha, Anusha, et al.
Published: (2025)

Bypassing AI Control Protocols via Agent-as-a-Proxy Attacks
by: Isbarov, Jafar, et al.
Published: (2026)

MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic Paradigm
by: Narajala, Vineeth Sai, et al.
Published: (2025)

Agent Control Protocol: Admission Control for Agent Actions
by: Fernandez, Marcelo
Published: (2026)

AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments
by: Al-Sinani, Haitham S., et al.
Published: (2024)

Security of AI Agents
by: He, Yifeng, et al.
Published: (2024)

AgentWall: A Runtime Safety Layer for Local AI Agents
by: Aravind, Ashwin
Published: (2026)

AgentWard: A Lifecycle Security Architecture for Autonomous AI Agents
by: Zhang, Yixiang, et al.
Published: (2026)

Predictive Coding and Information Bottleneck for Hallucination Detection in Large Language Models
by: Bhatt, Manish
Published: (2026)

Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis
by: Li, Penghui, et al.
Published: (2026)

LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild
by: Reworr, et al.
Published: (2024)

ClawLess: A Security Model of AI Agents
by: Lu, Hongyi, et al.
Published: (2026)

A Comparative Evaluation of AI Agent Security Guardrails
by: Li, Qi, et al.
Published: (2026)

AI Identity: Standards, Gaps, and Research Directions for AI Agents
by: Otsuka, Takumi, et al.
Published: (2026)

Multi-Agent Framework for Controllable and Protected Generative Content Creation: Addressing Copyright and Provenance in AI-Generated Media
by: Khan, Haris, et al.
Published: (2026)

The Hidden Dangers of Browsing AI Agents
by: Mudryi, Mykyta, et al.
Published: (2025)

AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
by: Zheng, Ye, et al.
Published: (2025)

A Security Analysis of the OpenClaw AI Agent Framework
by: Suwansathit, Surada, et al.
Published: (2026)

Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
by: Narajala, Vineeth Sai, et al.
Published: (2025)