MKCS AI Trust Intelligence
Know every agent. Govern every action. Prove every decision.
MKCS AI Trust Intelligence is an enterprise AI governance and agent-trust control plane for discovering AI assets across cloud and identity environments, governing agent identities and MCP servers, correlating identity-to-agent exposure, evaluating policy posture, managing risk, and producing evidence that leadership and auditors can understand.
Microsoft EntraAWSGoogle CloudHybrid / On-PremExposure Intelligence
Essentials supports self-service enrollment. Enterprise and Regulated plans use a guided Markotek onboarding path.
Illustrative product viewAI Governance Posture
LiveAI Trust Score92/100
Discover→Govern→Evaluate→Prove
Enterprise AI Governance
A control plane for the AI estate your organization is building now.
AI agents, agent identities, enterprise applications, and MCP servers can spread faster than governance teams can inventory them. MKCS AI Trust turns that environment into a tenant-scoped operating model for ownership, policy, risk, evidence, and audit.
Agent Registry
Maintain a governed inventory of AI agents, owners, environments, identities, sponsors, and governance state.
Agent Identity
Connect agent identities and cloud workload identities to accountable human ownership, applications, business purpose, and enterprise context.
MCP Governance
Register and govern MCP servers, authentication patterns, tools, owners, lifecycle state, and risk posture.
Risk Intelligence
Track findings, severity, ownership, due dates, remediation state, and governance action across tenant assets.
Policy Center
Evaluate governed assets against AI governance controls and produce a defensible AI Trust posture with human review.
Evidence & Audit
Generate immutable-style evidence snapshots with SHA-256 integrity, exportable reports, and customer-visible audit history.
Multi-Cloud Connector Framework
Discover what already exists across cloud and identity environments.
Provider-specific connectors keep each customer authorization boundary separate, then normalize supported inventory into one MKCS governance model. Microsoft Entra, AWS, and Google Cloud discovery are available today; Hybrid / On-Prem Active Directory uses a guided read-only collector path; OCI remains future state.
Applications, service principals, assignments, and Agent ID identities.
Accounts, IAM identities, supported workload and access signals, and native AI inventory where available.
Projects, service accounts, workload identity, IAM policy records, and supported cloud assets.
Read-only Active Directory inventory through a customer-managed collector path.
Reserved in the connector framework without a current production claim.
InventoryDiscover
Bring supported cloud, directory, AI, and application signals into one governed workspace.
OwnershipAssign
Connect assets to accountable owners, sponsors, reviewers, and business purpose.
GovernanceEvaluate
Run policy controls and prioritize findings that require human attention.
EvidenceProve
Generate retained evidence and audit records for governance review.
Identity → Application → AI Agent → Data
Exposure Intelligence turns disconnected inventory into an explainable risk relationship.
MKCS correlates governed agent inventory with observed application or workload-identity relationships, user or group assignment evidence, data classification, MCP context, and policy results. The goal is to show where an AI asset has enough evidence to support a governance decision — and where important context is missing.
1IdentityUser, group, service, or workload identity
→2ApplicationApplication or workload relationship
→3AI AgentGoverned agent, owner, lifecycle, and risk
→4DataClassification and protection evidence
Observed
A connected source directly supports the relationship or assignment evidence.
Configured
Customer governance metadata defines the relationship but the connector does not independently prove runtime use.
Inferred
MKCS can correlate available evidence, but the result remains explicitly labeled as inference.
Unknown
Evidence is insufficient. MKCS treats the gap as a governance question rather than pretending the relationship is proven.
Evidence boundary: MKCS does not claim live runtime data flow, effective privilege, or actual data consumption when connected source APIs do not prove it. Exposure findings are evidence-aware governance signals designed for accountable human review.
Customer Workspace
One tenant-scoped workspace for AI governance operations.
Customers operate inside their own workspace while Markotek platform administration remains separated from customer authentication and customer-visible audit activity.
Trust Architecture
Commercial convenience without weakening enterprise authorization.
Tenant isolation
Customer workspaces are tenant-bound. The Markotek control plane and customer workspace remain distinct operating contexts.
Customer-controlled authorization
Workspace access remains Microsoft Entra role-based, while cloud connector authorization stays provider-specific and customer-controlled. Payment status alone never grants governance access.
Evidence integrity
Governance snapshots are stored as distinct evidence objects with a SHA-256 digest supporting independent integrity review.
Audit separation
Customer-visible audit activity is kept separate from internal Markotek operator activity so each audience sees the right operational record.
Governance Lifecycle
From discovery to defensible evidence.
Discover
Inventory agents, identities, applications, cloud workloads, MCP services, and supported provider signals.
Classify
Define ownership, environment, purpose, risk, and data context.
Govern
Apply accountable roles, lifecycle state, and operational controls.
Evaluate
Run policy controls and calculate trust posture from governed data.
Remediate
Assign findings, review exceptions, and track required actions.
Prove
Generate evidence and audit records for governance review.
Plans
Start self-service. Expand when governance complexity grows.
Essentials is the self-service entry point. Enterprise and Regulated plans use guided onboarding for larger, higher-assurance environments.
Self-ServiceStart Today
Essentials
$499 / month
For organizations establishing a governed inventory and repeatable AI governance baseline.
- Up to 25 governed AI assets
- Customer workspace and Entra role model
- Agent Registry and MCP Governance
- Risk and Policy Centers
- Evidence and audit operations
- Enterprise Connector onboarding
- Stripe subscription billing
EnterpriseGuided
Enterprise
$999 / month
For larger AI estates needing expanded governed capacity, operating alignment, and enterprise onboarding.
- Up to 100 governed AI assets
- Expanded governance operating model
- Enterprise onboarding and architecture alignment
- Advanced account and support engagement
- Commercial and integration planning
RegulatedHigh Assurance
Regulated
$1,499 / month
For organizations with higher-assurance governance, evidence, regulatory, and enterprise operating requirements.
- Up to 250 governed AI assets
- Regulatory and data-governance alignment
- Higher-assurance onboarding posture
- Dedicated architecture and control discussions
- Priority commercial and support engagement
Essentials Self-Service Enrollment
From website visitor to provisioned MKCS workspace without weakening the trust boundary.
The enrollment experience is hosted by MKCS AI Trust Intelligence, not by the static marketing website. Payment can provision the commercial relationship and workspace; Microsoft Entra remains authoritative for customer access.
Sign in with work account
Verify the enrolling organization through Microsoft Entra.
Confirm Essentials
Review organization, plan, subscription, and commercial terms.
Secure checkout
Complete the recurring Essentials subscription through Stripe.
Workspace provisioned
MKCS creates the tenant workspace and commercial foundation.
Activate Entra access
Customer administrators authorize approved Client.* roles and enter the workspace.
Important Product Posture
Governance intelligence supports decisions; it does not replace accountable human governance.
Not a certification engine
Policy mappings, AI Trust scores, and governance findings are decision-support controls. They do not constitute legal advice, regulatory authorization, or an independent certification.
Customer context matters
Customers remain responsible for business policy, regulatory interpretation, asset classification, accountable ownership, and approval decisions.
Evidence remains reviewable
Human-readable reports and machine-readable snapshots support review, remediation, audit preparation, and governance operating discipline.
Enterprise & Regulated
Need more than Essentials?
Tell Markotek about your AI estate, governance expectations, tenant model, regulatory posture, and integration needs. Enterprise and Regulated onboarding is intentionally guided.