Shadow AI, AI sprawl and the enterprise AI governance gap

Ungoverned AI is already costing you money.

AI, risk, and technology leaders are governing a fast-growing population of agents, models, datasets and MCP servers, and the harder problem is the absence of a single trusted inventory across ServiceNow, AWS, Azure, Google Cloud, SaaS and the devices on the network. Every review, attestation, access decision and cost question then gets assembled by hand.

What holds most AI programs back:

Unmanaged AI Sprawl

AI built across clouds, SaaS and agent platforms never reaches a single inventory, so no one can say how much AI the enterprise actually runs, or who owns it.

Ungoverned Agents and Identities

Every agent acts through an identity, under permissions designed for people. Machine identities now outnumber human ones by more than eighty to one, and nearly half carry sensitive or privileged access.

Nowhere to Report AI Issues

When an agent hallucinates, leaks, goes down or shows bias, employees have no front door to raise it and no case record behind it, so the same failure repeats.

No Line of Sight on AI Spend

Model, token and platform costs land across a dozen bills with no owner, no chargeback and no ROI. Without cost and ownership attached, an AI asset is just another CMDB record.

What ServiceNow AI Control Tower does

AI Control Tower puts every AI in one place.

AI Control Tower runs AI like a critical business service, in the same platform where you already manage your services. It resolves every AI system, agent, model, dataset and MCP server into one governed inventory, and it does five things with them.

Discover Every AI Asset, Including Shadow AI

Inventory any agent, model and MCP server, first or third party, across AWS, Azure, Google Cloud and enterprise applications, including the shadow AI nobody registered.

Govern the AI Lifecycle and Its Risk

Request, approve, entitle, review and retire AI assets, with risk assessment across agents, models, datasets and prompts, and control frameworks aligned to NIST and the EU AI Act.

Secure AI Identity, Access and Exposure

Track AI identity, access and exposure, enforce least privilege, monitor AI Gateway and MCP traffic, and shut an agent down in real time when it operates beyond its permissions.

Observe How Agents Behave at Runtime

Continuous monitoring with live metrics, evaluation and trace logs, so you can see how agents reason, where they decide, and when to course-correct.

Measure AI Cost and Value

Cost tracking and ROI dashboards that put a number on adoption, realized value and runaway model spend.

Armis, Veza and AI security on the ServiceNow AI Platform

Armis and Veza show the control tower what it cannot see alone.

Armis and Veza are now part of ServiceNow, and both feed AI Control Tower. Together they let it govern an agent, the identity behind it, and the asset it runs on as a single object rather than three partial views held in three separate tools.

Armis Finds What Is Actually Running

Armis discovers connected assets without installing anything on them, across IT, OT, IoT, medical devices, physical AI, code and cloud, tracking close to seven billion devices in real time and feeding the CMDB.

The result is a live view of the actual attack surface rather than a static inventory that ages the moment it's written. AI running on your network gets found and inventoried even when nobody registered it, and OT and IoT come under the same governance model as agents and cloud services.

Veza Maps What Each Agent Can Reach

Every AI agent acts through an identity with a set of permissions, and those permissions were almost certainly designed for people. Veza maps who and what can access what, across people, service accounts and agents, and enforces least privilege at the point of action.

It feeds an authoritative agent inventory and access map into AI Control Tower, surfaces the blast radius when an agent is compromised or goes off script, and pushes access risk into Integrated Risk Management and access reviews into workflow.

The Context Engine Ranks What Matters to the Business

The Context Engine is the ServiceNow layer that connects those two pictures to your business, tying each asset and identity to the services, processes, teams and policies that depend on it, anchored on two decades of CMDB.

That is what turns a long list of findings into a ranked list of what to fix first. It carries runtime observability into how agents reason and when to intervene, automatic risk prioritization with bounded and auditable remediation, and the basis for a real-time kill switch on an agent operating out of bounds.

AI governance maturity model and AICT implementation roadmap

We grow your AI governance one stage at a time.

We know governance builds over time, that's why we assess where you sit today, credit the work already in place, and scope the next stage from there, so each layer goes live on its own instead of waiting for the rest.

Every engagement runs the same three steps, Orient, Chart and Expand, and the implementation itself is sequenced crawl, walk and run.

Every engagement runs Orient, Chart, then Expand.

ORIENT | Control Tower Assessment

Current AI inventory and agent sprawl, data access and governance, shadow AI exposure, entitlement path, compliance posture.

CHART | Value Discovery Blueprint

A half to full day working session on discovery and ITOM for AI, asset and case management, security and identity, compliance evidence, and the architecture for anything beyond ServiceNow.

EXPAND | Phased Delivery

Crawl, walk and run layers delivered in sequence, with advisory alongside the build and a handover that leaves your team able to run it.

CoreX AI Horizon Offerings You Can Add Either Side of the Build.

AI Strategy to Execution

Add AI Strategy to Execution before the build when the policy, operating model, ownership and CMDB readiness still need to be settled, so the implementation starts on a foundation rather than creating one.

Value that Compounds

Add Value that Compounds after go-live for CoreXtend managed services: new AI onboarded, risk rescored, controls retested, and value and spend reported on a monthly rhythm.

Crawl: Get the Inventory Right

We assess your current AI inventory and agent sprawl, your data access and governance, your shadow AI exposure, your entitlement path, and your compliance posture.

Walk: Widen It to the Whole Estate

Discovery across hyperscalers, SaaS and the network so shadow AI comes under the same lifecycle, risk and control frameworks aligned to NIST and the EU AI Act with evidence held in IRM, and AI case management so people can report issues.

Run: Make Governance Act

Least-privilege access for every AI identity, AI Gateway and MCP monitoring, runtime observability into how agents behave, and a real-time kill switch when an agent operates beyond its permissions.

Explore CoreX's Services Across the ServiceNow Platform:

AI Asset Management

Manage next-generation AI assets in the same platform as your hardware, software and enterprise assets: request, entitle, measure usage, block unsanctioned, de-provision. Track AI usage and total AI spend in one place, the way software asset management already recovers real budget.

AI Strategic Planning

Use AI Control Tower with Strategic Portfolio Management to develop, fund and track your AI strategy, so the portfolio of AI initiatives is planned and measured like any other investment.

AI Discovery Beyond the Platform

Service Graph Connectors and hyperscaler integrations, plus Armis agentless network discovery, to find the AI you know about and the shadow AI you do not, across AWS, Azure, Google Cloud, SAP, Oracle, Workday and the network itself.

Risk and Compliance in IRM

Risk assessment across agents, models, datasets, prompts and classic machine learning, with control frameworks aligned to NIST and the EU AI Act, and evidence held in Integrated Risk Management instead of spreadsheets.

AI Case Management

Give people a platform for reporting issues with AI tooling, from outages to the nuanced ones like bias in a prompt or a model, including anonymous reporting. Cases route, escalate and close with an audit trail behind them.

Identity and Runtime Security

Veza access governance for every AI identity with least privilege at the point of action, AI Gateway and MCP monitoring, runtime observability, and a real-time kill switch when an agent operates out of bounds.

Why CoreX as your AI Control Tower Implementation Partner?

We have built this before, and we sequence it properly.

Turning the product on is the easy part. The value is in knowing what to turn on first, what your entitlement already covers, and how to hand it over so your team can run it.

How CoreX delivers impact:

strategic partner

Alchemy Global Networks, Armis Partner of the Year

Armis is now the asset intelligence layer underneath AI Control Tower, and deploying it well is a discipline of its own. AGN is a CoreX strategic partner and was recognized by Armis as its Deployment Partner of the Year at Armis Accelerate 2025, with deep asset discovery experience across federal, defense, intelligence and commercial estates spanning millions of endpoints. CoreX brings the ServiceNow governance layer, AGN brings the asset intelligence depth, and the customer gets one program rather than two projects.

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