Aeon AI Risk Management
AI security assessment vs penetration test: what should you buy?
Aeon helps buyers decide whether they need a standard penetration test, an AI security assessment, or a combined CyberGuard review across application, API, code, agent, MCP, and data-path risk.
Questions this page answers
- Does an AI security assessment replace a penetration test?
- Not always. It expands the scope where LLM apps, AI agents, MCP tools, model pipelines, or sensitive context flows create risks beyond a standard web or API test.
- Can CyberGuard include a normal web app pentest?
- Yes. CyberGuard can include authorized website penetration testing, web application vulnerability testing, API security testing, and AI stack security review.
- Is the work authorized-only?
- Yes. CyberGuard is authorized-only, whitehat, human-reviewed, and non-destructive.
A standard pentest tests the application boundary
Traditional penetration testing is useful for websites, web applications, APIs, authentication, authorization, session logic, and known classes of application risk.
AI security adds model, agent, tool, and data-path risk
LLM apps, AI agents, MCP servers, retrieval paths, model pipelines, prompt/tool boundaries, and sensitive context flows create risks a conventional test may not cover.
CyberGuard combines both when the stack is mixed
For AI-enabled products, the practical answer is often a combined review: classic web and API testing plus AI-native testing and verified remediation evidence.