AI Agent and MCP Plugin Security Scanner for Natural Language Attacks
As AI agents use MCP servers, skills, and plugins with natural language instructions, a new attack surface has emerged: prompt injection and social engineering hidden in tool descriptions and markdown files. Traditional code scanning misses 60% of these risks because the attacks are in prose, not code.
Don't build another generic prompt injection detector. The opportunity is specifically in the SUPPLY CHAIN angle: scanning registries and marketplaces of agent tools before they get installed. Think npm audit but for MCP servers. The moat is building the largest database of known attack patterns in natural language instructions.
landscape (3 existing solutions)
This space barely existed 6 months ago and is moving fast. Snyk and AgentSeal are the early movers but the tooling is still immature. The specific gap is scanning the SUPPLY CHAIN of AI agents: the skills, plugins, and MCP server descriptions that agents trust implicitly. As agent marketplaces grow, this becomes a critical infrastructure need.