The Cognitive Firewall:Securing Browser Based AI Agents Against Indirect Prompt Injection Via Hybrid Edge Cloud Defense
Fuente:
arXiv
Saved in:
| Main Authors: | Lan, Qianlong, Kaul, Anuj |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Silent Egress: When Implicit Prompt Injection Makes LLM Agents Leak Without a Trace
by: Lan, Qianlong, et al.
Published: (2026)
by: Lan, Qianlong, et al.
Published: (2026)
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
by: Xiang, Chong, et al.
Published: (2026)
by: Xiang, Chong, et al.
Published: (2026)
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
by: Zhu, Kaijie, et al.
Published: (2025)
by: Zhu, Kaijie, et al.
Published: (2025)
Zero-Trust Runtime Verification for Agentic Payment Protocols: Mitigating Replay and Context-Binding Failures in AP2
by: Lan, Qianlong, et al.
Published: (2026)
by: Lan, Qianlong, et al.
Published: (2026)
Securing AI Agents Against Prompt Injection Attacks
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
ICON: Indirect Prompt Injection Defense for Agents based on Inference-Time Correction
by: Wang, Che, et al.
Published: (2026)
by: Wang, Che, et al.
Published: (2026)
IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
by: An, Hengyu, et al.
Published: (2025)
by: An, Hengyu, et al.
Published: (2025)
ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt Injection
by: Zhao, Wei, et al.
Published: (2026)
by: Zhao, Wei, et al.
Published: (2026)
LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection
by: Zhao, Lei, et al.
Published: (2026)
by: Zhao, Lei, et al.
Published: (2026)
WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections
by: Cao, Tri, et al.
Published: (2026)
by: Cao, Tri, et al.
Published: (2026)
In-Browser LLM-Guided Fuzzing for Real-Time Prompt Injection Testing in Agentic AI Browsers
by: Cohen, Avihay
Published: (2025)
by: Cohen, Avihay
Published: (2025)
IPI-proxy: An Intercepting Proxy for Red-Teaming Web-Browsing AI Agents Against Indirect Prompt Injection
by: Chia-Pei, et al.
Published: (2026)
by: Chia-Pei, et al.
Published: (2026)
MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks
by: Syros, Georgios, et al.
Published: (2026)
by: Syros, Georgios, et al.
Published: (2026)
To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
by: Wang, Zhilong, et al.
Published: (2025)
by: Wang, Zhilong, et al.
Published: (2025)
Agent Privilege Separation in OpenClaw: A Structural Defense Against Prompt Injection
by: Cheng, Darren, et al.
Published: (2026)
by: Cheng, Darren, et al.
Published: (2026)
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
by: Evtimov, Ivan, et al.
Published: (2025)
by: Evtimov, Ivan, et al.
Published: (2025)
BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
by: Zhang, Kaiyuan, et al.
Published: (2025)
by: Zhang, Kaiyuan, et al.
Published: (2025)
Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks
by: Pasquini, Dario, et al.
Published: (2024)
by: Pasquini, Dario, et al.
Published: (2024)
QueryIPI: Query-agnostic Indirect Prompt Injection on Coding Agents
by: Xie, Yuchong, et al.
Published: (2025)
by: Xie, Yuchong, et al.
Published: (2025)
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition
by: Dziemian, Mateusz, et al.
Published: (2026)
by: Dziemian, Mateusz, et al.
Published: (2026)
CASCADE: A Cascaded Hybrid Defense Architecture for Prompt Injection Detection in MCP-Based Systems
by: Turgut, İpek Abasıkeleş, et al.
Published: (2026)
by: Turgut, İpek Abasıkeleş, et al.
Published: (2026)
Defending against Indirect Prompt Injection by Instruction Detection
by: Wen, Tongyu, et al.
Published: (2025)
by: Wen, Tongyu, et al.
Published: (2025)
AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
by: Wang, Zhun, et al.
Published: (2025)
by: Wang, Zhun, et al.
Published: (2025)
The Defense Trilemma: Why Prompt Injection Defense Wrappers Fail?
by: Bhatt, Manish, et al.
Published: (2026)
by: Bhatt, Manish, et al.
Published: (2026)
Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree
by: Johnson, Sam, et al.
Published: (2025)
by: Johnson, Sam, et al.
Published: (2025)
PromptArmor: Simple yet Effective Prompt Injection Defenses
by: Shi, Tianneng, et al.
Published: (2025)
by: Shi, Tianneng, et al.
Published: (2025)
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
by: Zhong, Peter Yong, et al.
Published: (2025)
by: Zhong, Peter Yong, et al.
Published: (2025)
Prompt Injection 2.0: Hybrid AI Threats
by: McHugh, Jeremy, et al.
Published: (2025)
by: McHugh, Jeremy, et al.
Published: (2025)
Defense Against Indirect Prompt Injection via Tool Result Parsing
by: Yu, Qiang, et al.
Published: (2026)
by: Yu, Qiang, et al.
Published: (2026)
Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
by: Chen, Sizhe, et al.
Published: (2025)
by: Chen, Sizhe, et al.
Published: (2025)
Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks?
by: Bhagwatkar, Rishika, et al.
Published: (2025)
by: Bhagwatkar, Rishika, et al.
Published: (2025)
Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems
by: Chang, Hongyan, et al.
Published: (2026)
by: Chang, Hongyan, et al.
Published: (2026)
Evaluation of Prompt Injection Defenses in Large Language Models
by: Deep, Priyal, et al.
Published: (2026)
by: Deep, Priyal, et al.
Published: (2026)
The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents
by: Jia, Feiran, et al.
Published: (2024)
by: Jia, Feiran, et al.
Published: (2024)
Enforcing Benign Trajectories: A Behavioral Firewall for Structured-Workflow AI Agents
by: Dang, Hung
Published: (2026)
by: Dang, Hung
Published: (2026)
Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs
by: Yeo, Andrew, et al.
Published: (2025)
by: Yeo, Andrew, et al.
Published: (2025)
A Critical Evaluation of Defenses against Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)
by: Jia, Yuqi, et al.
Published: (2025)
Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems
by: Huang, Haiyang, et al.
Published: (2025)
by: Huang, Haiyang, et al.
Published: (2025)
LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
by: Panebianco, Francesco, et al.
Published: (2025)
by: Panebianco, Francesco, et al.
Published: (2025)
Similar Items
-
Silent Egress: When Implicit Prompt Injection Makes LLM Agents Leak Without a Trace
by: Lan, Qianlong, et al.
Published: (2026) -
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
by: Xiang, Chong, et al.
Published: (2026) -
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
by: Zhu, Kaijie, et al.
Published: (2025) -
Zero-Trust Runtime Verification for Agentic Payment Protocols: Mitigating Replay and Context-Binding Failures in AP2
by: Lan, Qianlong, et al.
Published: (2026) -
Securing AI Agents Against Prompt Injection Attacks
by: Ramakrishnan, Badrinath, et al.
Published: (2025)