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AI/ML / Multi Agent Refarch

Multi-Agent Reference Architecture Capabilities

Version: DEV

IDTitleDescriptionThreat Mappings
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.
2
CCC.MARefArc.CP02Human-in-the-loop output reviewApplication-embedded controls that allow users to review, approve, or modify agent outputs before they are executed or shared.
3
CCC.MARefArc.CP03Agent registry and lifecycle managementCatalog of available agents with their capabilities, metadata, and configuration, supporting versioning, lifecycle management, and controlled onboarding of new agents.
2
CCC.MARefArc.CP04Agent request routingValidates incoming application requests and routes each to the correct agent or agent group, abstracting agent-layer complexity behind a consistent interface.
0
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.
3
CCC.MARefArc.CP06Agent collaboration and orchestration patternsSupports supervisor/worker decomposition, skills-based routing, and agent-as-a-tool handoff for decomposing and executing complex tasks across multiple agents.
3
CCC.MARefArc.CP07Unified sandboxed agent runtimeSecure, sandboxed environment where all agentic reasoning and execution occurs, providing task state management for pause/resume/handoff and intercepting and validating tool calls with credentials handled securely within the sandbox.
4
CCC.MARefArc.CP08Built-in trusted toolsA collection of bundled, trusted tools providing fundamental capabilities: the MCP client bridge to the external MCP layer, a sandboxed shell, workspace I/O, and web search.
5
CCC.MARefArc.CP09Agent memoryShort-term in-session context management (trimming and summarization to control length, cost, and latency) and durable long-term memory across sessions, including session summaries and user/task personalization.
2
CCC.MARefArc.CP10Sandboxed workspace file systemA sandboxed, persistent file system that agents use to read and write files, enabling work with large artifacts.
1
CCC.MARefArc.CP11Adaptive learningGenerates learning signals based on execution outcomes to refine prompts, adjust agent configurations, or improve tool-selection strategies.
2
CCC.MARefArc.CP12Authoritative knowledge source basesInternal and external repositories of structured data, unstructured documents, and graph-based representations that provide authoritative information for grounding.
5
CCC.MARefArc.CP13Vector-based semantic retrievalVector databases providing semantic search and grounding so agents can find relevant information from large text corpora.
6
CCC.MARefArc.CP14Approved-model registry and lifecycleCatalog of approved models with metadata, version information, configuration parameters, and usage constraints, ensuring agents access only models meeting organizational, regulatory, and security standards.
10
CCC.MARefArc.CP15LLM inference gateway routingValidates inference requests and routes each to the correct model instance, abstracting model hosting behind a consistent interface.
3
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.
10
CCC.MARefArc.CP17Approved MCP server registry and lifecycleCatalog of approved MCP servers with metadata, capabilities, configuration, and usage constraints, ensuring agents connect only to servers meeting organizational, security, and compliance requirements.
1
CCC.MARefArc.CP18MCP connection gateway routingValidates MCP connection requests and routes each to the correct server instance, abstracting MCP connectivity behind a consistent interface.
0
CCC.MARefArc.CP19MCP-interaction zero-trust guardrailsEnforces authentication and authorization for every MCP request and governs which agents may use which tools, applying rate limits and validating tool-call parameters.
3
CCC.MARefArc.CP20Feedback engineCollects and aggregates structured and unstructured feedback from users, evaluators, and automated systems, including correctness assessments, preference signals, and quality ratings, to inform system improvement.
2
CCC.MARefArc.CP21Human supervision and oversightMechanisms for human reviewers to inspect, approve, correct, or override agent outputs, supporting human-in-the-loop and human-over-the-loop workflows for sensitive or high-impact tasks.
3
CCC.MARefArc.CP22Runtime protectionMonitors agent actions and model outputs during execution to detect unsafe, non-compliant, or anomalous behavior, enforcing constraints, blocking disallowed actions, or triggering escalation.
2
CCC.MARefArc.CP23Cross-layer telemetry collectionCaptures logs, traces, metrics, and events emitted by every layer to support debugging, auditability, distributed tracing, and operational monitoring across the request lifecycle.
1
CCC.MARefArc.CP24Anomaly detectionIdentifies unusual or unexpected patterns across telemetry to surface failures, regressions, misuse, or emerging risks before they impact performance or compliance.
0
CCC.MARefArc.CP25Signal correlationCorrelates signals across logs, traces, metrics, and events into a unified view, connecting symptoms to root causes across cross-layer dependencies.
1