MCP-DPT creates a defense-placement taxonomy that organizes MCP threats and defenses across six architectural layers, revealing mostly tool-centric protections and gaps at orchestration, transport, and supply-chain layers.
An empirical study on remote code execution in machine learning model hosting ecosystems
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AI systems lack verifiability, versioning, observability, and traceability in their software supply chains, shown by dependency analysis of 48 projects yielding 4,664 direct and 11,508 transitive dependencies totaling 392M lines of code.
citing papers explorer
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MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security
MCP-DPT creates a defense-placement taxonomy that organizes MCP threats and defenses across six architectural layers, revealing mostly tool-centric protections and gaps at orchestration, transport, and supply-chain layers.
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The Grand Software Supply Chain of AI Systems
AI systems lack verifiability, versioning, observability, and traceability in their software supply chains, shown by dependency analysis of 48 projects yielding 4,664 direct and 11,508 transitive dependencies totaling 392M lines of code.