Public Architecture

MKCS Ecosystem Architecture Overview

This public view explains how MKCS platforms connect at a safe enterprise level without exposing private implementation details, resource names, secrets, or protected backend design.

Safe Architecture View

From users to product workflow to governance.

Client & Business Users

AI governance owners, applicants, client administrators, reviewers, support agents, scheduling administrators, account managers, and executive stakeholders.

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Experience Layer

SIEM workspace, AI Trust workspace, identity intake, client portal, admin command center, Enterprise ServiceDesk, scheduling workspace, documentation, and executive visibility.

Access & Role Layer

Role-based access, Microsoft Entra application roles, tenant boundaries, client-specific workspaces, separated platform administration, administrator controls, and support permissions.

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AI Trust Intelligence

Agent registry, cloud and workload identity, MCP governance, Exposure Intelligence, risk findings, policy evaluation, trust scoring, evidence, audit, and multi-cloud connector discovery.

Identity Intelligence

Document capture, OCR, selfie evidence, AI review, analyst decisions, evidence locking, reports.

Support Intelligence

Tickets, incidents, priority handling, SLA tracking, escalation, knowledge, support continuity.

Business Scheduling Intelligence

Unified availability, services, teams, provider routing, locations, resources, booking channels, appointment lifecycle, secure video, and scheduling audit.

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Integration & Discovery Layer

Provider-isolated connectors for Microsoft Entra, AWS, Google Cloud, and guided Hybrid / On-Prem discovery, plus customer systems, communications, workflow automation, payment providers, and enterprise integrations for security and business workflows.

Data & Evidence Layer

Security events, incidents, investigation records, AI governance snapshots, agent and MCP records, case records, ticket records, scheduling and booking records, reports, evidence files, audit events, and operational telemetry.

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Security, Governance & Operations

Encryption posture, audit logging, monitoring, backup planning, incident response, tenant governance, and executive reporting.

Architecture Principles

What customers should understand before onboarding.

Public views stay safe.

The website explains the operating model without exposing implementation details, secrets, resource names, or internal automation logic.

Provider boundaries stay isolated.

Each supported cloud or directory connector follows its own customer authorization boundary before inventory is normalized into the governance plane.

Evidence confidence stays explicit.

Observed, configured, inferred, and unknown relationships remain distinguishable so governance teams can separate evidence from assumption.

Client onboarding goes deeper.

Approved customers can receive deeper architecture, integration, access, and governance discussions during onboarding.

Architecture Discussion

Need a deeper architecture session?

Approved clients can receive deeper technical architecture, integration planning, and security alignment during onboarding.

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