🛡️ SecureTheCloud

MCP Governance Lab

SecureTheCloud MCP Governance Lab

Simulate governed Model Context Protocol tool access before AI agents can retrieve sensitive information, invoke enterprise-style tools, execute workflows, or perform business actions.

Core PrincipleAI can assist, recommend, and explain.AI cannot bypass governance.AI cannot invoke MCP-style tools without identity, policy, approval, and evidence validation.

Shared Trust Fabric

Common governance services for MCP-enabled AI tool access.

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Governance & PolicyIdentity-aware MCP policy evaluation
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Evidence & AuditReplayable decision records for every MCP request
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Risk IntelligenceRisk-tiered MCP tool access decisions
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Identity / ContextUser, agent, service, role, department, and environment
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MCP Tool FirewallFinal checkpoint before enterprise tool execution
Public Demo BoundarySimulated MCP governance workflow. No real MCP servers, customer records, regulated data, or enterprise systems are connected.
Client StoryShows identity-aware AI tool governance, policy decisions, approvals, firewall checks, evidence replay, and executive visibility.
Correct ClaimProduction-shaped lab, not production enforcement. Demonstrates the control pattern safely and honestly.

Phase 8 · Executive Governance Dashboard

MCP Risk & Control Center

Leadership visibility into MCP tool access, policy effectiveness, firewall posture, sensitive access attempts, high-risk activities, human review pressure, and governance readiness.

Readiness PostureLoadingLoading MCP governance telemetry...

Phase 12 · Client Demo Hardening

Demo Operations

Restore the seeded demo state before interviews or client walkthroughs. The reset requires an owner token and does not expose real data.

Protected Demo ResetOwner reset token required.

Platform Layers

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AI Access Request Portal

Entry point for governed AI and MCP requests

Demo Ready
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MCP Server Layer

Enterprise-style tools exposed through controlled interfaces

Demo Ready
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Identity Context Engine

Builds identity and agent context before policy evaluation

Demo Ready
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Data Classification Layer

Classifies public, internal, confidential, restricted, and regulated data

Demo Ready
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Policy Decision Engine

Returns allow, deny, redact, approval_required, or escalate

Demo Ready
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Evidence Replay

Auditor-ready reconstruction of request history

Demo Ready

Phase 3

MCP Access Request Portal

Submit a governed MCP tool request with identity, business purpose, classification, and approval context.

Phase 5

MCP Tool-Call Firewall

Every MCP tool is inspected before execution. The firewall applies identity, classification, risk, approval, and policy checks before access is allowed.

AI can reason and recommend. AI cannot invoke MCP tools until policy, approval, and evidence checks pass.

Phase 6

Human Approval Workspace

High-risk MCP requests are routed for reviewer approval before tool execution is allowed.

No pending approval requests.

MCP Server Layer

Selected Tool Context

The selected MCP tool is evaluated before execution is permitted.

Governance Evaluation InputsUser: Riley BrooksRole: Support AnalystClearance: 4Tool: read_customer_recordResource: customer profileClassification: restrictedApproval: not_requested

Evidence Replay

Latest MCP Governance Decisions

Every request is recorded as governance evidence. Select a record to replay the governed decision timeline.