AI agent governance for the enterprise

Agents are scaling into production faster than the controls to govern them. KPATH is the control plane.

Costs climbing, no clear picture of which agents exist, and no way to prove what any of them did. We help enterprises fix that: a platform that enforces the rules, and a practice that works out what the rules should be.

Cost control

Governance

Security

Full observability

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The situation

Three problems arrive together, usually in this order.

Almost every organisation running agents at any scale recognises at least two of these. They are not separate problems. They all come from the same gap.

Cost

Spend climbs, nobody can attribute it

Token spend rises every month with no per agent attribution. Finance starts asking which agent cost what, and the platform team has no way to answer.

Governance

Four teams, four frameworks, no registry

Agents get built independently across the business. Nobody keeps a shared inventory, most agents have no named owner, and the rules live in whichever team wrote them.

Security

Agents act on their own, with credentials

An agent that is useful holds real access. When one behaves badly there is no way to stop it mid action, and no record that survives an audit.

31%
of enterprises already run an AI agent in production.
25%
of enterprise breaches expected to be agent-linked by 2028.
21%
have a mature agent governance model in place today.
40%+
of agentic projects forecast to be cancelled by 2027, on cost and control.

Sources: S&P Global and McKinsey, 2026; Gartner; Deloitte.

Why it keeps happening

Governance decides. Someone has to enforce.

Identity platforms issue agent identities and decide what should be allowed. A decision is not an enforcement. Something has to be sitting there at the moment the agent acts, able to say no. Most estates have nothing in that position, which is why the spending and the sprawl go unnoticed until someone audits it.

Policy decision point

Your identity provider

It issues the identity and decides what the agent may do. It has no way to stop the call once the agent is acting.

Policy enforcement point

KPATH Agent Management Platform

It sits on the path between agents and services, so it can allow or refuse the call while it is happening, and log it.

Your identity provider decides. KPATH enforces.

If you need to enforce it

KPATH AMP, the control plane between your agents and everything they touch.

Every call from an agent goes through it, which is what makes it a control plane rather than a dashboard: the one place where governance is applied rather than reported on afterwards.

ANY AGENT, ANY FRAMEWORKGOVERNED SERVICESPersonal assistantsLangChain / CrewAIClaude / OpenAI agentsMCP servers & toolsKPATH AMPPOLICY ENFORCEMENT POINTIdentityKill switchBudgetRisk tierApprovalGuardrailsImmutable auditInternal service agentsEnterprise APIsMCP tool serversExternal SaaS, proxiedEvery call is identified, checked against policy, and recorded, whatever framework the agent runs on.
01

Discover

Find what exists

A live picture of the agents running in your business and the services they reach, including the ones nobody registered.

02

Identify

Give every agent a name

Each agent becomes a governed identity with an owner, a risk tier, a lifecycle, and a switch that turns it off.

03

Govern

Decide at the call

Identity, budget, policy and human approval are checked on every request, not signed off once at onboarding.

04

Contain

Limit the blast radius

Threat filtering runs inline, and stopping one agent stops everything it set in motion downstream.

05

Prove

Answer the auditor

A tamper evident record of which agent did what, on whose authority, streamed to your SIEM.

Nothing gets torn up

Keep your identity provider, your guardrails engine, your agent platform, and your existing APIs. KPATH AMP adds the enforcement layer the rest of the stack was never designed to provide.

Starts in monitor mode

The first step only watches. It inventories the agents and services already running and blocks nothing at all, so you see the picture before committing to enforcement.

See the full KPATH AMP platform for the architecture, containment model, and standards it speaks.

Cost control

150,000 tokens per request, narrowed before the model acts.

Most agent cost comes from handing the model a tool surface far larger than the task needs. Narrowing that surface to the tools relevant to the request cuts the tokens spent on every call, and lets you add tools without accuracy falling away.

150,000 TOKENS / REQUESTKPATHintent · route · policy≈2,000Model actssub-2-second path~98% smaller before the model acts · add tools without quality regression

Per agent budgets sit on top of this as an enforced limit, so agent spend becomes a control rather than a monthly surprise.

If you need to decide what to enforce

A practice for organisations moving AI from pilots into production.

Not every organisation needs a control plane yet. Plenty need to work out where agents create advantage, what the operating model looks like, and what has to be true before security signs it off. That is consultancy work, and we do it.

AI Security & Governance

Agent threat modelling, tool misuse mitigation, and getting to auditability before compliance blocks the rollout.

Agentic Frameworks

Moving from isolated experiments to agentic systems that are reliable and cheap enough to keep in production.

Strategic Advisory

Where agents create advantage, where humans stay in control, and how to avoid lock-in as decisions compound.

Automation & AI Readiness

Whether your data, processes and systems can support automation, and which candidates are worth attempting first.

See how the consultancy practice works.

Research partnerships

Building secure AI with leading UK research partners.

KPATH partners with the Artificial Intelligence Collaboration Centre (AICC) and the Centre for Secure Information Technologies (CSIT) to develop secure AI technology for enterprise clients.

Artificial Intelligence Collaboration Centre (AICC)

A £16.3 million AI adoption initiative led by Ulster University with Queen’s University Belfast.

aicc.co
Centre for Secure Information Technologies (CSIT)

The UK’s Innovation & Knowledge Centre for cyber security, based at Queen’s University Belfast.

qub.ac.uk/csit

Your agents are already acting. Make sure something is enforcing.

Start with a free 30 minute consultation on your agent estate and where the gaps are.

Book a free 30 minute consultation →