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 is an AI-native pentest lab that 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.
- Where should we start if scope is unclear?
- Start with the free public-exposure snapshot and threat-model call, then choose a paid diagnostic, full AI-native pentest review, or Release Security Gate under signed ROE.
Standard pentest
Buy this when the main risk is the website, API, authentication, authorization, session logic, and conventional application boundary.
AI security assessment
Buy this when LLM apps, AI agents, MCP servers, RAG, model pipelines, prompt/tool boundaries, or sensitive context flows create risks a conventional test may miss.
CyberGuard
Buy this when you need an AI-native pentest lab for products that mix web, API, code, agent, MCP, and data-path risk, or when you need a Release Security Gate for recurring AI releases.
The practical decision
If agents, tools, retrieval, or model pipelines can access data or take action, treat it as CyberGuard scope.