Unauthorized data access
The agent reaches another user, department, tenant, or protected area.
AI AGENT RISKSThe more capable the agent,
The more capable the agent,
the more boundaries it can cross.
AI-agent risk is not limited to incorrect answers. The material risk is an action or information path that should not be available becoming possible through search, RAG, APIs, files, SaaS, or tools.
BOUNDARY RISKS
Six common boundary problems
We assess the connected system as a whole rather than focusing on one type of business data.
Alternative-path bypass
After a denial, the agent tries RAG, files, another API, or SaaS.
Action privilege expansion
A read-only user indirectly triggers update, delete, or external send actions.
Prompt injection
Instructions embedded in external content override user intent or policy.
Unstable decisions
Equivalent requests produce materially different allow/deny behavior.
Missing traceability
Searches, tool calls, denials, and retries cannot be reconstructed.
ASSESSMENT
Test actual requests and execution, not only the configuration table.
The assessment uses agreed normal, unauthorized, and bypass scenarios and reviews the agent response together with data access, tool/API execution, denials, and evidence.
How the Simulator differs
The AI Security Simulator is a separate demo and experimental environment that turns these boundary problems into visible Attack Agent / Defense Agent behavior. It does not produce a customer assessment result.