🛡️ AgentGuard — Self-Service AI Agent & MCP Security Scanner for Startups

🛡️ AgentGuard — Self-Service AI Agent & MCP Security Scanner for Startups

The Problem (with evidence)

The AI agent security crisis is real and quantified:

• 88% of organizations reported confirmed or suspected AI agent security incidents in 2025 (Beam.ai State of Agent Security Report)
• Only 14.4% of AI agent deployments received full security and IT approval
• Over 50% of deployed AI agents operate without consistent security oversight or logging
• 25.5% of agents can create and task OTHER agents, expanding attack surface exponentially
• 45.6% rely on shared API keys for agent authentication — a catastrophic security practice

Reddit evidence:

"Anyone seriously preparing for AI agent attackers? We're seeing agents that can try thousands of approaches per minute, and most of our controls assume human-speed attacks." — r/cybersecurity (1,200+ upvotes, March 2026)

"I went through every AI agent security incident report from 2025... the pattern is always the same: over-permissioned agents with zero logging." — r/cybersecurity (800+ upvotes)

The MCP-specific angle is even more urgent. With 6,400+ MCP servers registered and every major AI provider adopting the protocol, MCP configurations are the new attack surface. Microsoft's own security team published "Plug, Play, and Prey: The Security Risks of the Model Context Protocol" — calling out tool poisoning, privilege escalation, and context injection as critical vectors.

The gap: Enterprise players (Zenity, Noma Security, Obsidian) charge $50K-500K/year. Open-source tools (MCP-Scan, MCPSafetyScanner, CyberMCP) are CLI-only and require DevOps expertise. MCP gateways (GatewayMCP $10/seat, Hypr $10/mo) provide infrastructure but NOT security auditing. Zero self-service security scanner exists in the $49-199/mo range for startups.