Aeon AI Risk Management
AI agent security assessment for systems that can act.
Aeon reviews AI agents across access, execution, and leakage: what they can reach, what actions they can trigger, and where sensitive context can escape.
Questions this page answers
- What is an AI agent security assessment?
- It is an authorized review of what an AI agent can access, execute, or leak across tools, APIs, MCP servers, RAG stores, permissions, logs, and data paths.
- How is this different from a normal pentest?
- A normal pentest often focuses on the web or API surface. An AI agent security assessment follows the agent into tool calls, command boundaries, retrieval paths, tenant access, and action permissions.
- Can this support SOC 2 readiness?
- Yes. Aeon produces technical evidence your assessor can map to your controls. Formal SOC 2 reports are issued by independent CPA auditors, not Aeon.
- Is the work authorized-only?
- Yes. Free first steps are public-source only. Active testing starts only after signed Rules of Engagement, named authorization, scope, test window, data handling, and stop conditions.
Access
Review whether agents, users, tenants, roles, tools, retrieval stores, and APIs can reach data or objects they should not.
Execute
Test prompt-to-action paths, command boundaries, tool parameters, workflow actions, and unsafe defaults that can trigger unauthorized operations.
Leak
Follow sensitive context through prompts, logs, RAG outputs, files, responses, integrations, and customer evidence so data does not escape.
Built for the agentic blast radius
CyberGuard treats agent risk as an authorization, command-boundary, and data-path problem. Public proof stays class-level while coordinated disclosure runs.