BuildMoat platform / 01
Define authority. Connect controls. Govern action. Prove oversight.
BuildMoat connects agent mandates to the controls, telemetry, response workflows and evidence regulated organisations need to deploy AI agents with confidence.
Control plane
Authority connected to evidence
Agent estate
Agents · tools · workflows
Enterprise estate
Identity · data · cloud
BuildMoat / governed environment
01 — 05Authority Studio
Control Fabric
Runtime Guard
Resilience & Containment
Evidence Ledger
One governed environment for agent control
The control gap / 02
AI agents do more than generate outputs. They access data, invoke tools, call APIs, trigger workflows and influence customer, financial and operational outcomes.
Risk now sits across the environment around the model. Most firms already own controls across these areas; what is missing is a way to connect them to the authority granted to each agent—and to create a complete record of whether those controls worked.
BuildMoat is the layer that connects approved agent authority to live control evidence.
Control model / 03
BuildMoat sits across the environments where agents operate and the systems that govern enterprise risk.
BuildMoat control plane
Common operating context
Authority Studio
Define authority
Control Fabric
Map safeguards
Runtime Guard & Telemetry
Monitor action
Resilience & Containment Hub
Coordinate response
Evidence Ledger
Preserve evidence
Agent & automation estate
Enterprise control estate
BuildMoat does not attempt to replace your identity provider, API gateway, cloud-security tooling, SIEM or GRC platform. It gives those systems a common operating context: agent authority, approved boundaries, accountable ownership, control status and evidence.
Five platform capabilities / 04
Connect governance intent to engineering controls and operational action—with ownership and evidence carried across the lifecycle.
Define what every agent is authorised to do.
Set a behavioural envelope before deployment: business purpose, autonomy level, accountable owner, permitted actions, data boundaries, approved tools, operational limits, financial thresholds, human-approval rules and prohibited activities.
For
AI leadership · Product · Risk · Compliance · accountable Senior Managers
Outcome
A defined mandate, named owner and reviewable authority for every material agent.
Convert policy into a verifiable control model.
Map internal policy, risk appetite and regulatory obligations to safeguards across identity, permissions, tools, APIs, data, networks, workflow approvals, configuration management and containment procedures.
For
Security Architecture · Technology Risk · Compliance · Internal Audit · Control Owners
Outcome
A live view of how policy requirements are implemented and evidenced.
Monitor live behaviour against approved boundaries.
Connect evidence from agent frameworks, API gateways, identity platforms, cloud environments, workflow systems, security tools and ticketing workflows. Identify material exceptions and changed conditions.
For
CISO teams · AI Platform teams · Risk · Security Operations · Compliance
Outcome
Earlier identification of agent risk, with context on ownership, authority and required action.
Prepare for agent disruption before it affects customers.
Map agents to business services, technical dependencies and third-party providers. Define and test procedures for pause, isolation, credential review, connector disablement, manual fallback, recovery and remediation.
For
Operational Resilience · COO · CISO · CIO · Incident Response
Outcome
Tested readiness to contain and recover from agent-related operational disruption.
Maintain the evidence of accountable oversight.
Build a time-stamped, tamper-evident record linking agent authority, controls, activity, approvals, exceptions, decisions, risk acceptance, remediation and closure.
For
SMF holders · CCOs · MLROs · Risk · Audit · Board Secretariat
Outcome
Decision-grade evidence for Senior Managers, boards, internal audit, clients and regulators.
How it works / 05
Authorise → Secure → Observe → Control → Recover → Prove
Records purpose, ownership, autonomy, limits, approvals and prohibited actions.
Explicit delegated authority
Connects requirements to identity, data, tool, API, network, workflow and containment controls.
Defined technical boundaries
Monitors relevant activity, control evidence, changes and exceptions.
Live visibility of agent and control risk
Routes approvals, escalations, exception management and response actions through governed workflows.
An accountable path from detection to action
Supports containment, impact assessment, manual fallback, restoration, remediation and retesting.
Greater operational-resilience readiness
Preserves evidence of authority, controls, activity, decisions and outcome.
Defensible oversight under scrutiny
Records purpose, ownership, autonomy, limits, approvals and prohibited actions.
Explicit delegated authority
Connects requirements to identity, data, tool, API, network, workflow and containment controls.
Defined technical boundaries
Monitors relevant activity, control evidence, changes and exceptions.
Live visibility of agent and control risk
Routes approvals, escalations, exception management and response actions through governed workflows.
An accountable path from detection to action
Supports containment, impact assessment, manual fallback, restoration, remediation and retesting.
Greater operational-resilience readiness
Preserves evidence of authority, controls, activity, decisions and outcome.
Defensible oversight under scrutiny
Make the control lifecycle repeatable across internal agents, vendor AI, copilots, custom workflows and connected enterprise systems.
Integrations & deployment / 06
Connect the systems where agents are built, deployed, monitored and governed. Start with one material workflow and the systems already producing relevant evidence; expand the control model as your agent estate grows.
Internal and vendor agents · Models · Tools · APIs · Connectors · Orchestration · Automation platforms
Evidence context: What the agent can reach and do
Workload identity · Service accounts · Permissions · Access reviews · Authentication · Privileged actions
Evidence context: Who and what is acting
Cloud configurations · Databases · Gateways · Network boundaries · Egress controls · DLP signals
Evidence context: Where actions and data flow
Monitoring · SIEM · Alerts · Incident response · Ticketing · Vulnerability and case management
Evidence context: How exceptions are detected and handled
Policies · Risk registers · Control libraries · Attestations · Audit evidence · Vendor risk · Board reporting
Evidence context: How oversight is owned and evidenced
Enterprise assurance / 07
Regulated operation requires more than a policy statement. It requires ownership, technical evidence and a credible route from exception to action.
Clear ownership and delegated authority for material agents
Control evidence across technical, operational and third-party environments
Change, exception and risk-acceptance workflows
Operational-resilience testing and evidence of recovery readiness
Evidence packs for Senior Managers, boards, audit and regulatory engagement
One cross-platform control model for internal, vendor and third-party AI
BuildMoat is not an additional policy repository. It is the control environment that makes AI policy operational.
Technical review / 08
Bring one AI-assisted decision or agent workflow. In 30 minutes, see how BuildMoat maps authority, controls, evidence and accountability gaps—without requiring system access.