Cyber/AI Convergence Risk Mapper.

Required input fields.

• AI use case (required)
• Connected systems (required): No connected systems, Read-only integrations, Workflow updates, External action channels
• Identity model (required): Scoped service identity, Shared or broad identity, User-delegated identity
• Data sensitivity (required): Public, Internal, Sensitive, Regulated
• Monitoring (required): Weak or unknown, Partial, Strong and evidenced
• Incident response integration (required): Weak or unknown, Partial, Strong and evidenced

Data handling: this interface uses the L2ET protected same-origin instrument engine. Do not enter confidential, regulated, privileged, incident, medical or sensitive operational data.

Permission Graph logic.

Maps system connections, identities, data flows and monitoring into AI-cyber dependency nodes and prioritizes control gaps.

Source families

Assumptions

• The map depends on a complete description of integrations.
• Threat paths are illustrative and defensive.
• Identity enforcement must be validated separately.

AI-cyber dependency map.

The generated artifact includes findings, assumptions, limitations, recommended next actions and exportable structured output.

Export options

Example input and output.

Example input

Copilot with CRM read access using user-delegated identity and partial monitoring.

Example output

Outputs AI-cyber dependency map, logging gaps, identity concerns and response-process adjustments.