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Static policies
Documents cannot restrict network access, block unapproved API calls or enforce financial limits at runtime.
Runtime control for autonomous AI
BuildMoat is the control and assurance platform for agentic AI, connecting written policy to technical guardrails, runtime control signals, resilience response and defensible evidence of accountable oversight.
Authority
Live controls
Runtime oversight
Containment
Evidence
The Problem
Regulated firms are deploying agents across onboarding, financial crime, credit, trading support and customer operations. Traditional model risk and policy frameworks were not designed to govern agents acting in real time.
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Documents cannot restrict network access, block unapproved API calls or enforce financial limits at runtime.
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Compliance, Security, Technology and Resilience each hold part of the picture. No shared system connects policy to live control.
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SM&CR, Consumer Duty and regulatory expectations place responsibility on senior leaders who may lack live oversight of agent activity.
The gap
The distance between approved policy and live agent behaviour is a primary source of regulatory, cyber and operational risk.
The BuildMoat Platform
BuildMoat connects enterprise infrastructure to live agents—enforcing operational boundaries, containing out-of-scope actions and recording the evidence needed to demonstrate oversight.
One control plane. Connected to your agent estate.
BuildMoat Control Plane
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Authority Studio
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Active Control Fabric
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Runtime Guard & Telemetry
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Resilience & Containment
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Evidence Ledger
Real-time API hooks · OpenTelemetry gateways
The control lifecycle
Platform capabilities
Translate governance requirements into runtime authority, safeguards, intervention and verifiable evidence.
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Set each agent’s mandate, financial limits, data boundaries, approved endpoints and human-review triggers before deployment.
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Connect written obligations to technical safeguards across identity, APIs, databases and cloud infrastructure.
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Monitor tool calls, permissions and operational signals; flag out-of-bounds activity and approval bypass attempts.
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Pause, isolate or stop agents when controls breach, with intervention designed to work independently of the agent.
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Create time-stamped, tamper-evident records linking actions to mandates, controls, human decisions and risk acceptance.
Business outcomes
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Reuse behavioural templates, control patterns and approval workflows as agent use expands.
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Connect policy requirements to assigned owners and active technical safeguards.
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Contain failing or compromised agents without taking core business services offline.
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Trace agent actions to approved mandates, controls, human oversight and remediation.
How It Works
Approve
Define what an AI system is allowed to do and who is accountable.
Monitor
Track relevant AI decisions, actions, interventions and exceptions.
Escalate
Identify activity that falls outside approved boundaries and route it to the right person.
Evidence
Capture who acted, what happened and when, creating a contemporaneous record.
No paper trail. No forensic reconstruction. No guessing.
Regulatory Scope
BuildMoat translates complex regulatory expectations into live infrastructure safeguards, giving accountable leaders a unified control plane across existing rulebooks.
The Requirement
Senior Managers must demonstrate "Reasonable Steps" when AI systems make autonomous or automated decisions.
The BuildMoat Control
Automatically records named executive sign-offs, behavioral boundaries, live overrides, and containment actions in a tamper-evident audit trail.
The Requirement
Firms must prevent foreseeable customer harm and verify ongoing human oversight in automated journeys.
The BuildMoat Control
Enforces real-time human-in-the-loop triggers for high-risk credit, pricing, or vulnerability decisions before an agent acts.
The Requirement
Regulated firms must prove ICT operational resilience, control third-party dependencies, and contain severe disruption.
The BuildMoat Control
Provides independent agent kill switches, real-time connector isolation, and failover workflows when third-party models or tools malfunction.
The Requirement
High-risk AI systems require continuous logging, human oversight mechanisms, and boundary breach detection.
The BuildMoat Control
Monitors live tool calls, reasoning chains, and prompt drift, flagging out-of-bounds behavior in real time.
Whether facing the FCA, PRA, EBA, or internal audit, BuildMoat provides the live enforcement and defensible proof your firm needs.
Why BuildMoat
Traditional governance creates policy documents. BuildMoat creates an unbroken chain of real-time control and evidence across the entire agent lifecycle:
BuildMoat connects all six nodes into a single, tamper-evident control plane.
Explore how BuildMoat connects agent authority, technical controls and defensible evidence in one control environment. Bring one AI-assisted decision or agent workflow. In 30 minutes, see how BuildMoat maps its authority, controls, evidence and accountability gaps, without needing system access.