The Security Operations Center
for AI Agents

Executive Summary

AI agents are the fastest-growing attack surface in enterprise software. OpenClaw alone has 145,000+ GitHub stars and 42,665 publicly exposed instances. LangChain, CrewAI, AutoGPT, and MCP servers collectively power millions of autonomous workflows that execute commands, read files, make network requests, and use tools — all with minimal security oversight.

AgentsMon is the first and only open-source security operations center purpose-built for AI agents. We monitor, detect, and respond to threats across 6 agent platforms in real time — with 153+ detection rules, an autonomous AI investigator, progressive trust scoring, and compliance mapping to 7 industry frameworks.

No other product in the market combines sandbox escape detection, trust level management, cross-platform coverage, autonomous threat investigation, and standards compliance into a single platform.

The Market

The Problem

Every enterprise deploying AI agents faces the same fundamental gap: security tooling designed for humans doesn't work for agents.

Traditional security tools (SIEMs, EDRs, WAFs) were built to monitor human behavior — login patterns, user sessions, network traffic from known applications. AI agents break every assumption:

• Agents execute hundreds of commands per minute — volume that overwhelms human-designed alert thresholds
• Agents access files, APIs, and databases programmatically — no UI session to inspect
• Agents communicate with other agents — creating lateral movement paths that don't exist in human workflows
• Agents can be hijacked via prompt injection — an attack class that no traditional security tool detects
• Agents can escape sandboxes — container escapes, VM escapes, and namespace abuse that bypass isolation

The result: a $47B AI security market (Gartner, 2025) where the fastest-growing segment — agent security — has virtually no dedicated tooling.

The Opportunity

The EU AI Act — now in force — mandates sandbox testing for high-risk AI systems. PCI DSS v4.0 requires isolation for AI agents handling payment data. FedRAMP is drafting AI-specific authorization requirements. Every enterprise deploying agents will need security monitoring that maps to these standards.

The Product

AgentsMon is a local-first, open-source security platform that provides real-time threat detection, behavioral analysis, compliance scoring, and autonomous investigation for AI agents.

By the Numbers

Core Capabilities

Why AgentsMon Wins

Competitive Landscape

Five Moats

Go-to-Market

Adoption Strategy

Revenue Model

Target Customers

• Financial services — AI agents handling trading, compliance, customer service (PCI DSS v4.0)
• Healthcare — AI agents accessing patient data (HIPAA, HITRUST AI Framework)
• Government — AI agents in federal systems (FedRAMP AI, CISA guidance)
• Technology — AI-native companies deploying coding, DevOps, and support agents
• Professional services — Consulting firms deploying agents for client work

Traction

Technical Depth

The Ask

To be completed with specific funding round details.

Use of Funds

Appendix: The Threat Is Real

Headline Vulnerabilities

Threat Statistics

Standards Mandating Agent Security