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AI/ML / Multi Agent Refarch / Threats / DEV

Intellectual-property leakage and licensing violations

CCC.MARefArc.TH26

Outputs may replicate copyrighted training material, employees may leak trade secrets into AI tools, and improper platform licensing or terms-of-service violations create contractual and legal liability.

Related Capabilities

IDTitleDescription
CCC.MARefArc.CP01User-facing application surfacePresentation and orchestration surface (web, mobile, chatbot, workflow tool, or integrated enterprise system) that captures user intent, forwards requests to the agent layer, and returns agent outputs.
CCC.MARefArc.CP05Agent-ingress zero-trust guardrailsTreats all inputs as untrusted and enforces authentication, authorization, input validation, content filtering, access control, rate limits, and dynamic policy before any request reaches an agent.
CCC.MARefArc.CP16Model-interaction zero-trust guardrailsEnforces authentication and authorization for every inference request and applies input validation against prompt injection, output filtering and redaction, access control, rate limits, and cost management before and after model execution.

Related Controls

IDTitleDescription
CCC.MARefArc.CN04Data Quality and ClassificationAssess the quality of, and assign classification and sensitivity labels to, all data used for grounding, training, and fine-tuning, and enforce handling rules derived from those labels throughout the Knowledge and LLM layers.
CCC.MARefArc.CN05Legal and Contractual Frameworks for AI SystemsEstablish contractual controls with model and MCP service providers covering data handling, retention and deletion, intellectual property, liability, and supply-chain integrity.

External Mappings

FrameworkIDRemarks
air-vecAIR-RC-023-01
air-vecAIR-RC-023-02
air-vecAIR-RC-023-03