Closing the AI governance gap

Ungoverned AI is already costing you money.

Agents, models, datasets, and MCP servers are spreading across ServiceNow, cloud platforms, SaaS, and connected devices. Without a trusted inventory, teams are left manually piecing together reviews, attestations, cost data, and more.

What holds most AI programs back:

Unmanaged AI Sprawl

AI spreads across cloud, SaaS, and agent platforms without a shared inventory, making it difficult to know what the enterprise is running or who owns it.

Ungoverned Agents and Identities

Every agent operates through an identity and a set of permissions. As machine identities multiply, organizations need a clear view of what each agent can access, what it can do, and whether those privileges are appropriate.

Lack of Reporting

When an agent produces inaccurate or biased results, exposes information, or stops working, employees need a clear way to report the issue and create a record that can be tracked through resolution.

Limited Visibility into AI Spend

AI costs are often spread across models, platforms, and providers without clear ownership or chargeback. Connecting cost, usage, and ownership gives teams a clearer view of what each AI asset is delivering and where investment should go next.

ServiceNow AI Control Tower

Bring your AI environment into focus.

AI Control Tower brings AI systems, agents, models, datasets, and MCP servers into a centralized inventory on the same platform used to manage enterprise services. From there, teams can apply consistent governance across the AI estate.

Discover every AI asset, including Shadow AI.

Build an inventory of agents, models, and MCP servers across cloud platforms and enterprise applications, including AI assets that were never formally registered or approved.

Govern the AI lifecycle.

Manage AI assets from request and approval through access, review, and retirement, with risk assessments and controls applied across agents, models, datasets, and prompts.

Secure AI identity and access.

Track the identities, permissions, and exposure behind AI agents, enforce least-privilege access, and respond when an agent operates outside its approved boundaries.

Monitor agent behavior in real time.

Use live metrics, evaluations, and trace logs to understand how agents are performing, where problems emerge, and when intervention is needed.

Measure AI cost and value.

Track AI costs, adoption, and realized value through shared dashboards, making it easier to identify rising spend and understand where AI investments are delivering returns.

Extending AI governance with Armis and Veza

See the agent, its identity, and the asset behind it.

Armis and Veza extend the visibility available to AI Control Tower, connecting agents with the identities they use and the assets they run on. This gives teams a more complete view of AI risk without piecing together separate perspectives across multiple tools.

Armis finds what's running.

Armis discovers connected assets across IT, OT, IoT, cloud, and other environments and feeds that intelligence into the CMDB, helping identify unregistered AI and keep the inventory current.

Veza maps what agents can reach.

Veza maps the identities and permissions behind AI agents, helping teams identify exposure, enforce least privilege, and bring access reviews into existing workflows.

The Context Engine prioritizes what matters.

Context Engine connects assets and identities to the services, processes, teams, and policies that depend on them, helping teams prioritize risk and determine where intervention matters most.

AI governance maturity and AI Control Tower roadmap

Govern what you have. Prepare for what’s next.

We assess your current governance maturity, build on the controls already in place, and define the next practical stage. Each layer delivers value on its own, allowing governance to expand alongside your AI estate rather than waiting for the entire program to be built.

Every engagement runs Orient, Chart, then Expand.

ORIENT | Control Tower Assessment

We assess your current AI inventory, agent sprawl, data access, shadow AI exposure, entitlements, and compliance posture to establish a clear governance baseline.

CHART | Value Discovery Blueprint

In a focused working session, we map discovery, asset and case management, security, identity, compliance, and the architecture needed to govern AI beyond ServiceNow.

EXPAND | Phased Delivery

We deliver governance in defined stages, with advisory support throughout and a structured handoff that prepares your team to manage and expand the program.

CoreX AI Horizon Offerings:

AI Strategy to Execution

Add AI Strategy to Execution when policy, ownership, operating model, or CMDB readiness still needs work, giving the implementation a clear foundation from the start.

Value that Compounds

Add Value That Compounds after go-live for ongoing CoreXtend managed services, including AI onboarding, risk reassessment, control testing, and monthly value and spend reporting.

Explore CoreX's Services Across the ServiceNow Platform:

AI Asset Management

Manage AI alongside your other enterprise assets, from request and entitlement through usage and deprovisioning. Track adoption and spend in one place while identifying unsanctioned or underused AI.

AI Strategic Planning

Connect AI Control Tower with Strategic Portfolio Management to plan, fund, and track AI initiatives as part of your broader investment portfolio.

AI Discovery Beyond the Platform

Use Service Graph Connectors, cloud integrations, and Armis discovery to find known and shadow AI across AWS, Azure, Google Cloud, enterprise applications, and the network itself.

Available with the Enterprise SKU.

Risk and Compliance in IRM

Assess risk across agents, models, datasets, prompts, and machine learning, with controls aligned to frameworks such as NIST and the EU AI Act and evidence managed directly in Integrated Risk Management.

AI Case Management

Give employees a clear way to report AI issues, from outages and inaccurate responses to potential bias, including anonymously. Cases can be routed, escalated, and resolved with a complete audit trail.

Identity and Runtime Security

Use Veza to govern AI identities and enforce least privilege, while monitoring AI Gateway and MCP activity to identify and stop agents operating outside approved boundaries.

Why CoreX as your AI Control Tower Implementation Partner?

Experience that guides what comes first

Successful AI Control Tower implementations depend on more than enabling features. CoreX helps determine what to prioritize, what your existing entitlements cover, and how to build a governance program your team can confidently manage and expand.

How CoreX delivers impact:

strategic partner

Alchemy Global Networks, Armis Partner of the Year

CoreX partners with Alchemy Global Networks (AGN) to bring deep Armis expertise into AI governance programs. AGN’s asset discovery experience spans complex federal, defense, intelligence, and commercial environments, while CoreX brings the ServiceNow governance expertise. Together, we connect asset intelligence and AI governance as one coordinated program.

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