GAIC_CITED_SYSTEMS: SOURCE_QUALIFIED_MAPPINGS

Systems Discussed in the Global AI Compliance White Paper 2026

Source-qualified lifecycle governance mappings, not vendor rankings.

LINK: Read the White Paper LINK: Explore Agentic Lifecycle Governance LINK: View Concepts Map LINK: View Applied Playbooks LINK: View Extended Ecosystem Mapping

BOUNDARY: NON_RANKING

Source-qualified lifecycle governance mappings.

The Global AI Compliance White Paper 2026 uses selected systems and frameworks to examine lifecycle responsibility coverage for agentic and multi-agent systems. These references are source-qualified, provisional, and non-ranking. They are not procurement recommendations, certifications, legal compliance proofs, or regulator-approved assessments.

Read the White Paper Explore Agentic Lifecycle Governance View Concepts Map View Applied Playbooks View Extended Ecosystem Mapping

SYSTEM_GROUP

Protocol Path

Lifecycle protocol path Source-qualified

MPLP

The white paper discusses MPLP in Chapter 12, Chapter 13, and Appendix G as a protocol-oriented mapping surface for Missing Regulatory Objects, RCCS-M, and ALCS.

Lifecycle governance question Can lifecycle responsibility semantics be made explicit enough to preserve authority, evidence, accepted outcome, substitution, dispute, remediation, and closure across agentic work?

MRO RCCS-M ALCS Evidence Chain Authority Boundary Accepted Outcome

Open source-qualified mapping

Source-qualified, provisional, non-ranking, non-procurement.

SYSTEM_GROUP

Enterprise Governance / Cloud AI Platforms

Enterprise AI governance platform Source-qualified

IBM watsonx.governance

The white paper includes IBM watsonx.governance in Chapter 12 mapping summaries and Appendix G expanded assessment.

Lifecycle governance question How far can an enterprise governance surface express lifecycle responsibility objects for agentic and multi-agent work, beyond traditional model governance controls?

MRO RCCS-M ALCS Evidence Chain Authority Boundary Accepted Outcome

Open source-qualified mapping

Source-qualified, provisional, non-ranking, non-procurement.

Cloud AI platform Source-qualified

Microsoft Azure AI Foundry

The white paper includes Microsoft Azure AI Foundry in Chapter 12 mapping summaries and Appendix G expanded assessment.

Lifecycle governance question Which agentic lifecycle responsibility objects remain explicit when platform governance, evaluation, safety, and deployment controls meet AI agent workflows?

MRO RCCS-M ALCS Evidence Chain Authority Boundary Accepted Outcome

Open source-qualified mapping

Source-qualified, provisional, non-ranking, non-procurement.

Cloud AI platform Source-qualified

AWS Bedrock + Guardrails + AgentCore

The white paper includes AWS Bedrock + Guardrails + AgentCore in Chapter 12 mapping summaries and Appendix G expanded assessment.

Lifecycle governance question What lifecycle responsibility remains inspectable when guardrails, runtime controls, agent behavior, evidence, and remediation are distributed across platform surfaces?

MRO RCCS-M ALCS Evidence Chain Authority Boundary Accepted Outcome

Open source-qualified mapping

Source-qualified, provisional, non-ranking, non-procurement.

Cloud AI platform Source-qualified

Google Vertex AI + ADK + Model Armor

The white paper includes Google Vertex AI + ADK + Model Armor in Chapter 12 mapping summaries and Appendix G expanded assessment.

Lifecycle governance question How do platform governance, agent development, and safety surfaces map to lifecycle responsibility objects when agentic work must remain auditable and accepted?

MRO RCCS-M ALCS Evidence Chain Authority Boundary Accepted Outcome

Open source-qualified mapping

Source-qualified, provisional, non-ranking, non-procurement.

SYSTEM_GROUP

Agent Frameworks and Tooling

Agent orchestration / observability Source-qualified

LangGraph + LangSmith

The white paper includes LangGraph + LangSmith in Chapter 12 mapping summaries and Appendix G expanded assessment.

Lifecycle governance question When orchestration and trace surfaces are present, what additional governance objects are needed for authority, acceptance, dispute, remediation, and lifecycle closure?

MRO RCCS-M ALCS Evidence Chain Authority Boundary Accepted Outcome

Open source-qualified mapping

Source-qualified, provisional, non-ranking, non-procurement.

Agent SDK / developer platform Source-qualified

OpenAI Agents SDK

The white paper includes OpenAI Agents SDK in Chapter 12 mapping summaries and Appendix G expanded assessment, with a platform-guide access note in source QA.

Lifecycle governance question What governance questions remain after SDK-level agent behavior is made visible, especially around authority, evidence, accepted outcome, substitution, dispute, and remediation?

MRO RCCS-M ALCS Evidence Chain Authority Boundary Accepted Outcome

Open source-qualified mapping

Source-qualified, provisional, non-ranking, non-procurement.

Agent orchestration framework Source-qualified

CrewAI

The white paper includes CrewAI in Chapter 12 mapping summaries and Appendix G expanded assessment.

Lifecycle governance question How should role and task orchestration be connected to evidence, authority, accepted outcome, dispute, remediation, and lifecycle closure?

MRO RCCS-M ALCS Evidence Chain Authority Boundary Accepted Outcome

Open source-qualified mapping

Source-qualified, provisional, non-ranking, non-procurement.

NON_CLAIM_DISCIPLINE

What this layer does not claim.

This layer does not rank vendors, recommend procurement, claim legal compliance proof, certify systems, imply regulator approval, or imply vendor endorsement. MPLP remains one protocol path for lifecycle responsibility semantics, not a required or exclusive route.

For ecosystem search contexts outside the first-layer systems discussed in GAIC, use the Extended Ecosystem Lifecycle Governance Mapping. That R3F layer is source-qualified and not GAIC-scored.