mlsanityData to 14 Oct 2026

A Survey on Agentic Security: Applications, Threats and Defenses

arXiv 2510.06445 ↗First posted 7 Oct 2025cs.CL cs.AI cs.CRcited by 20

On the map: LLM agents and tool use → Agent threats, guardrails and governance

also in 1 more
Abstract (arXiv)

LLM-based agents are now used throughout cybersecurity. While these agents facilitate powerful and autonomous security applications, their autonomy opens up new attack surfaces, and the security community is actively building defenses to secure them. Yet the literature on this subject has grown quickly and unevenly. Existing surveys treat applications, threats, and defenses in isolation, leaving no unified account of how an agent's capabilities, vulnerabilities, and countermeasures interconnect. In this work we present the first holistic survey of the agentic security landscape, structuring the field around the fundamental pillars of Applications, Threats and Defenses. We provide a comprehensive taxonomy of over 260 papers, explaining how agents are used in downstream cybersecurity applications, inherent threats to agentic systems, and countermeasures designed to protect them. In addition, we provide detailed pillar-specific and cross-cutting analyses that show the security-lifecycle coverage of agentic applications, comparison between red-teaming and blue-teaming agents, and the adversarial use of red-teaming applications. On the threat side, we analyze the entry points and agent-loop stages that attacks target, their specificity to the agentic setting, and the threat models they assume. On the defense side, we analyze the prevailing defense strategies, their cost and security trade-offs, and where in the agent lifecycle they are deployed. We further map which defenses cover which attack classes and chart trends in agent architecture, backbone model usage, data modality coverage, and the growth of attack and defense research over time. Taken together, these findings indicate that agentic systems are structurally fragile by default and that securing them will require defenses that span the full agent lifecycle rather than single-layer fixes.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 108 of its 161 references that are in the map. First posted on arXiv 7 Oct 2025.

Builds on

108 of 161 references.

Closest ancestors · 53

Same direction, newest first

  1. 2025Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks1 Oct
  2. 2025CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage30 Sep
  3. 2025LISA Technical Report: An Agentic Framework for Smart Contract Auditing29 Sep
  4. 2025PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents28 Sep
  5. 2025Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents22 Sep
  6. 2025Architecting Resilient LLM Agents: A Guide to Secure Plan-then-Execute Implementations10 Sep
  7. 2025From CVE Entries to Verifiable Exploits: An Automated Multi-Agent Framework for Reproducing CVEs1 Sep
  8. 2025Agentic Discovery and Validation of Android App Vulnerabilities29 Aug
  9. 2025LLM-driven Provenance Forensics for Threat Investigation and Detection29 Aug
  10. 2025Multi-Agent Penetration Testing AI for the Web28 Aug
  11. 2025CyberSleuth: Autonomous Blue-Team LLM Agent for Web Attack Forensics28 Aug
  12. 2025Searching for Privacy Risks in LLM Agents via Simulation14 Aug
38 more
  1. 2025ScamAgents: How AI Agents Can Simulate Human-Level Scam Calls8 Aug
  2. 2025ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation14 Jul
  3. 2025A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures24 Jun
  4. 2025SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks13 Jun
  5. 2025To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt6 Jun
  6. 2025Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution1 Jun
  7. 2025Seven Security Challenges in Cross-domain Multi-agent LLM Systems28 May
  8. 2025The Hidden Dangers of Browsing AI Agents19 May
  9. 2025AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents15 May
  10. 2025AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents9 May
  11. 2025Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents28 Apr
  12. 2025DoomArena: A framework for Testing AI Agents Against Evolving Security Threats18 Apr
  13. 2025Progent: Securing AI Agents with Privilege Control16 Apr
  14. 2025AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents24 Mar
  15. 2025CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities21 Mar
  16. 2025Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents17 Mar
  17. 2025SafeArena: Evaluating the Safety of Autonomous Web Agents6 Mar
  18. 2025Memory Injection Attacks on LLM Agents via Query-Only Interaction5 Mar
  19. 2025Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents27 Feb
  20. 2025Why Are Web AI Agents More Vulnerable Than Standalone LLMs? A Security Analysis27 Feb
  21. 2025ARACNE: An LLM-Based Autonomous Shell Pentesting Agent24 Feb
  22. 2025Red-Teaming LLM Multi-Agent Systems via Communication Attacks20 Feb
  23. 2025AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection17 Feb
  24. 2025D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive Security15 Feb
  25. 2025Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks12 Feb
  26. 2025Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety2 Feb
  27. 2025VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework23 Jan
  28. 2024The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents21 Dec
  29. 2024Towards Action Hijacking of Large Language Model-based Agent14 Dec
  30. 2024HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing2 Dec
  31. 2024Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents14 Nov
  32. 2024PentestAgent: Incorporating LLM Agents to Automated Penetration Testing7 Nov
  33. 2024AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents11 Oct
  34. 2024AutoPenBench: Benchmarking Generative Agents for Penetration Testing4 Oct
  35. 2024Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents3 Oct
  36. 2024AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases17 Jul
  37. 2024Teams of LLM Agents can Exploit Zero-Day Vulnerabilities2 Jun
  38. 2024LLM Agents can Autonomously Exploit One-day Vulnerabilities11 Apr

50 newest of 53 All 53 (JSON)

Other references · 55

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  2. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,276
  3. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
  4. 2023Universal and Transferable Adversarial Attacks on Aligned Language Modelscited by 3,104
  5. 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 2,006
  6. 2023Jailbroken: How Does LLM Safety Training Fail?cited by 1,651
  7. 2023Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injectioncited by 1,443
  8. 2024τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domainscited by 1,402
  9. 2022Red Teaming Language Models with Language Modelscited by 1,026
  10. 2022Ignore Previous Prompt: Attack Techniques For Language Modelscited by 832
  11. 2023Large Language Modelscited by 780
  12. 2023Prompt Injection attack against LLM-integrated Applicationscited by 605
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  3. 2024RepairAgent: An Autonomous, LLM-Based Agent for Program Repaircited by 232
  4. 2023MART: Improving LLM Safety with Multi-round Automatic Red-Teamingcited by 163
  5. 2024A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Modelscited by 106
  6. 2024IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilitiescited by 103
  7. 2025Reward Shaping to Mitigate Reward Hacking in RLHFcited by 88
  8. 2024InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modelingcited by 79
  9. 2025Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agentscited by 71
  10. 2025Demonstrating specification gaming in reasoning modelscited by 56
  11. 2025ACE: A Security Architecture for LLM-Integrated App Systemscited by 55
  12. 2025RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditingcited by 49
  13. 2024R2-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoningcited by 43
  14. 2025Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attackscited by 34
  15. 2024Scaling Trends for Data Poisoning in LLMscited by 30
  16. 2025KNighter: Transforming Static Analysis with LLM-Synthesized Checkerscited by 24
  17. 2024Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignmentcited by 21
  18. 2023Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Gamecited by 18
  19. 2024LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTIcited by 18
  20. 2025ToolFuzz -- Automated Agent Tool Testingcited by 18
  21. 2023Formally Specifying the High-Level Behavior of LLM-Based Agentscited by 15
  22. 2025Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignmentcited by 14
  23. 2025LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centrescited by 14
  24. 2025Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networkscited by 12
  25. 2024Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvementscited by 11
  26. 2025On the Surprising Efficacy of LLMs for Penetration-Testingcited by 10
  27. 2024AuditGPT: Auditing Smart Contracts with ChatGPTcited by 9
  28. 2025LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurationscited by 9
  29. 2025Cloud Infrastructure Management in the Age of AI Agentscited by 9
  30. 2025Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothingcited by 9
  31. 2025Locus: Agentic Predicate Synthesis for Directed Fuzzingcited by 9
  32. 2025Towards a HIPAA Compliant Agentic AI System in Healthcarecited by 8
  33. 2025A Systematic Review of Poisoning Attacks Against Large Language Modelscited by 8
  34. 2025Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Surveycited by 8
  35. 2025Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligencecited by 6
  36. 2024Goal Hijacking Attack on Large Language Models via Pseudo-Conversation Injectioncited by 4
  37. 2025BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Predictioncited by 4
  38. 2025KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Managementcited by 4

50 most cited of 55 All 55 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 17.

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  1. 2026SoK: Agentic Skills -- Beyond Tool Use in LLM Agentscited by 130
  2. 2026Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threatscited by 29
  3. 2026A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-case Prototypescited by 22
  4. 2026The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestrationcited by 14
  5. 2025AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agentscited by 12
  6. 2026ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agentscited by 9
  7. 2026Safety in Embodied AI: A Survey of Risks, Attacks, and Defensescited by 7
  8. 2025PBFuzz: Agentic Directed Fuzzing for PoV Generationcited by 4
  9. 2026Authenticated Workflows: A Systems Approach to Protecting Agentic AIcited by 4
  10. 2026Challenges and Future Directions in Agentic Reverse Engineering Systemscited by 1
  11. 2026A Red Teaming Framework for Evaluating Robustness of AI-enabled Security Orchestration, Automation, and Response Systemscited by 1
  12. 2026Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025)cited by 1
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  1. 2026MemVenom: Triggered Poisoning of Multimodal Memories in Web Agentscited by 1
  2. 2026SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreakscited by 1
  3. 2025The Road of Adaptive AI for Precision in Cybersecuritycited by 0
  4. 2026Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspectivecited by 0
  5. 2026An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operationscited by 0
  6. 2026The Balkanization of Execution-Security Research for AI Coding Agents: Isolation, Access Control, and Time-of-Check-to-Time-of-Use Vulnerabilitiescited by 0
  7. 2026LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessmentcited by 0
  8. 2026Connecting the Dots in Agentic AI Security: A Cross-Dimensional Threat Taxonomy, Evaluation Maturity, and Open Challengescited by 0

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