Solutions / agentic AI control

Solve the control gaps that block safe AI deployment.

BuildMoat connects agent authority, technical controls, runtime oversight, resilience and evidence in one operating environment.

Start with the problem you need to solve today. Build a control model that supports every agent you deploy tomorrow.

Assess your agentic AI control environment

AuthorityControlsRuntime oversightResilienceEvidence

Agent control environment

From mandate to defensible evidence

Operating model

Define authority

Purpose · owner · limits

Connect controls

Identity · data · tools

Oversee runtime

Activity · changes · exceptions

Prepare response

Containment · recovery

Preserve evidence

Decisions · remediation · closure

Authority

Declared

Safeguards

Mapped

Evidence

Connected

One agent estate · one control language

The control gaps are connected. The response should be too.

For accountable leadershipCCOs · MLROs · SMF holders · CROs · COOs · CISOs · CIOs · Resilience · Audit

The decision-maker challenge / 01

The barriers to agentic AI adoption are no longer technical.

Your teams can build or buy agents. The harder question is whether the firm can govern them once they act across customer, financial and operational processes.

Where control becomes difficult

The programme is stuck

Ownership, authority and approvals are unclear, so a promising pilot cannot move into production.

Security cannot attest

It is hard to confirm whether an agent's access is proportionate to the task it performs.

Policy is hard to prove

Compliance cannot show, end to end, that policy has become working controls.

Resilience is untested

Teams cannot demonstrate how an agent failure affects an important business service and how it will be contained.

Evidence is fragmented

Audit has to chase multiple teams to reconstruct authority, controls, exceptions and decisions.

Accountability feels exposed

Senior Managers are asked to accept responsibility without a coherent view of activity and exceptions.

BuildMoat addresses these problems through five connected solutions with a shared control model.

Five connected solutions / 02

Control the whole lifecycle. Start with the gap that matters now.

From an agent’s mandate to evidence of oversight, BuildMoat brings the questions leaders ask into a common operating environment.

Agent Authority & Governance

Who owns this agent, and what is it allowed to do?

For

Senior Managers · Compliance · Risk · AI leaders · Product · Technology

The gap

Agents can have technical access without an explicit business mandate. It is difficult to show where authority ends, which actions need human approval, or who remains accountable after deployment.

The BuildMoat solution

Create an authority record and behavioural envelope for each material agent: purpose, risk tier, owner, autonomy, permitted and prohibited actions, data boundaries, tools, limits, approval rules and escalation triggers.

Outcome

Named accountability, defined authority and reviewable operating boundaries.

Agent Control Assurance

Which safeguards prove policy is actually enforced?

For

CISOs · Security Architecture · CIO/CTO · Compliance · Technology Risk · Audit

The gap

A policy can be clear while its enforcement is hard to demonstrate across identity, data, tools, APIs, workflows, network access and third-party services.

The BuildMoat solution

Map policy and regulatory requirements to technical and operational safeguards. Record ownership, evidence sources, test status, exceptions, remediation and residual-risk decisions.

Outcome

A defensible policy-to-control record of safeguards, owners and evidence.

Runtime Agent Risk Management

How will we see risk after go-live?

For

CISOs · Security Operations · AI Platform · Risk · Compliance · Technology Control

The gap

Point-in-time approval cannot reveal what changes after deployment: new connectors, different tools, changed permissions, updated prompts or evolving third-party services.

The BuildMoat solution

Connect runtime evidence across agent platforms, identity, APIs, cloud systems, security tools and workflows. Highlight out-of-bounds activity, approval bypasses, configuration drift, changed access, failed controls and emerging dependency risk.

Outcome

Contextual visibility of agent risk, with ownership and an accountable route to action.

Agentic Operational Resilience

Can we contain an incident without improvising?

For

COOs · Heads of Operational Resilience · CIOs · CISOs · Incident Response · Service Owners

The gap

An agent failure can become a business-service incident: unsafe customer communication, a failed fraud control, unauthorised action, data exposure, supplier interruption or a disrupted workflow.

The BuildMoat solution

Connect agents to important business services and their dependencies. Support the definition, testing and evidence of containment, recovery, manual fallback, customer-impact assessment, remediation and retesting procedures.

Outcome

A tested, accountable response model for agent-related disruption.

AI Accountability & Regulatory Assurance

Can we show the reasonable steps taken without reconstructing the story?

For

SMF16/17 holders · CCOs · MLROs · CROs · Boards · Internal Audit · Regulatory Affairs

The gap

Evidence of how an AI-assisted decision was governed can be dispersed across email, spreadsheets, change tickets, platform logs and vendor portals. Reconstructing it is slow and can expose gaps.

The BuildMoat solution

Maintain a record connecting agent authority, control requirements, technical evidence, approvals, exceptions, decisions, incidents, remediation and residual-risk acceptance.

Outcome

A defensible record of oversight for accountable leaders and assurance teams.

Find your starting point / 03

Start where the risk is most immediate.

Choose the question your organisation needs to answer first. Each path begins with a focused engagement and a clear control baseline.

Your suggested starting point / 01

Agent Authority & Governance

Who owns this agent, and what is it allowed to do?

First engagement

Agent Authority Diagnostic

Each engagement produces a clear control baseline and a prioritised implementation path into the wider BuildMoat platform.

One model across the lines of defence / 04

Built for the people who own, challenge and assure AI.

Agentic systems cut across functions. A shared control language gives each team a view relevant to its responsibility, without separating the evidence from the decisions it supports.

01 / Senior Managers & Board

Authority, material-risk and exception visibility; documented challenge and accountable decisions.

02 / Compliance, Risk & MLRO

Policy alignment, control status, evidence, attestations, exceptions and remediation.

03 / Security & CISO

Agent identities, permissions, tools, data exposure, policy context and incident prioritisation.

04 / CIO, CTO & AI leaders

Reusable governance patterns that reduce friction in deployment and change.

05 / Operational Resilience

Business-service mapping, dependencies, containment, recovery testing and impact evidence.

06 / Internal Audit

Traceability from approved authority through controls, operation, exception, remediation and closure.

One agent estate. One control language. One defensible evidence record.

Regulatory relevance / 05

Make existing obligations operational as AI changes the work.

BuildMoat helps firms operationalise existing obligations through control evidence relevant to the questions that matter. It supports oversight; it does not replace legal or regulatory advice.

Evidence relevant to

SM&CR accountability and reasonable steps

Consumer Duty and foreseeable customer harm

Operational resilience and important business services

Cyber resilience, access management and vulnerability response

Outsourcing, vendor and third-party risk

Data protection, confidentiality and information security

EU AI Act requirements where applicable

Relevant frameworks and obligations depend on your organisation, activities and jurisdiction. BuildMoat is designed to help evidence control and accountability; it does not determine compliance or guarantee regulatory outcomes.

Choose one material workflow / 06

Start with one agent. Build control across the estate.

In a 30-minute Agent Control Review, identify the authority, control, resilience and evidence questions your firm needs to answer for a real workflow.

AuthorityControlResilienceEvidence