Aeon AI Risk Management
MCP security assessment for agent tool boundaries.
Aeon reviews MCP servers and tool-connected AI systems before the tool layer becomes an untested action path.
Questions this page answers
- What does an MCP security assessment cover?
- It covers MCP servers, tool handlers, permissions, command boundaries, parameters, secrets, logs, data paths, recovery controls, and prompt/tool injection scenarios.
- Why is MCP security different from API security?
- MCP turns model output into tool calls. That means prompt, permission, and command-boundary issues can become operational actions, not just bad text output.
- Can we start without giving access?
- Yes. Start with a public-exposure snapshot and free threat-model call. Active validation starts only after signed authorization.
- How does this relate to CyberGuard?
- MCP security assessment is a CyberGuard wedge for tool-connected AI systems. It can stand alone or feed a broader AI Agent Security Review.
Map the MCP surface
Inventory MCP servers, exposed tools, identity context, permissions, command construction, environment access, logging, and recovery paths.
Validate command boundaries
Review parameter handling, shell or API call construction, injection-to-action paths, unsafe defaults, and stop conditions under signed authorization.
Package evidence for buyers
Turn findings, fixes, and retest evidence into customer security, SOC 2 readiness, and internal risk-signoff artifacts.
MCP is where agents get hands
The key question is not only what the model says. It is what the connected tool layer can reach, run, log, expose, or leak.