ChainWatch: A Kill Chain-Aligned Sequential Detection Framework for Multi-Step Attacks in MCP-Based AI Agent Systems
Om Narayan, Rashmi Jyoti, Ramkinker Singh
cs.CR, cs.AI
Submitted: 2026-07-20
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
- STAC: When Innocent Tools Form Dangerous Chains for LLM Agents
- The Promptware Kill Chain: How Prompt Injections Gradually Evolved Into a Multistep Malware Delivery Mechanism
- MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents
- MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AI
- MindGuard: Intrinsic Decision Inspection for Securing LLM Agents Against Metadata Poisoning
- Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem
- MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits
- MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP Servers
- Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies
- Temporal Attack Pattern Detection in Multi-Agent AI Workflows: An Open Framework for Training Trace-Based Security Models
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