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Vendor comparison

Halo vs ServiceNow

ServiceNow positions AI Control Tower inside its enterprise workflow platform. Halo is built for AI, needs no other platform to run, and enforces policy on devices, in browsers, at gateways, and in a sandboxed agent runtime.

The short version

  • ServiceNow’s public materials describe AI Control Tower as a way to discover, observe, govern, secure, and measure AI, built on the ServiceNow platform and its CMDB.
  • Halo brings its own discovery sensors and enforcement points, so governance starts working on your AI use without a platform rollout.
  • ITSM integration, starting with ServiceNow, is on the Halo roadmap, so Halo decisions and approvals can flow into the workflows your teams already use.

How ServiceNow describes AI Control Tower

ServiceNow describes AI Control Tower as a way to discover, observe, govern, secure, and measure AI across the enterprise, including systems beyond ServiceNow. It builds on the ServiceNow platform, including its CMDB and Context Engine.

Public materials list risk frameworks aligned to NIST and the EU AI Act, an AI Gateway for MCP transactions, access governance through a Veza integration, and cost and ROI dashboards. This summary reflects public materials reviewed in October 2026.

How Halo approaches AI governance

Halo is built for AI governance. It discovers AI use through Halo Browser (Chrome and Edge, plus Safari on macOS) and Halo Endpoint (macOS and Windows, with Linux coming soon) and keeps an inventory with source and confidence.

Policy is enforced at model, MCP and tool, and API gateways, through the Halo AI Gateway for desktop AI apps and coding agents, and in a secure agent runtime. Budgets, model routing, and exportable audit logs sit in the same platform.

Side by side

How Halo and ServiceNow compare

Comparison of Halo and ServiceNow by dimension
Where it lives

Halo

Available now

A platform built for AI governance, with its own discovery, gateways, policy, and evidence.

ServiceNow

AI Control Tower sits inside the ServiceNow platform and builds on its CMDB and Context Engine.
What it needs to start

Halo

Available now

Halo Browser and Halo Endpoint on managed devices, or agents running on Halo. Self-serve plans start right away.

ServiceNow

Documentation notes that governance views depend on the applications, frameworks, and populated records in place.
Scope of AI covered

Halo

Available now

AI use on browsers and endpoints, agent and desktop AI app traffic through gateways, and the agents Halo runs.

ServiceNow

Public materials describe governance for agents, models, datasets, prompts, and classic machine learning, including systems beyond ServiceNow.
Discovery

Halo

Guided rollout

Halo Browser and Halo Endpoint find AI sites, extensions, apps, IDE tools, and local runtimes, with metadata-first collection.

On the roadmap

Read-only discovery for cloud AI services, SaaS AI, and code repositories.

ServiceNow

Public materials describe discovery through integrations with cloud platforms and enterprise applications, and release notes describe endpoint discovery.
Runtime controls

Halo

Available now

Model, MCP and tool, and API gateways apply policy and approvals, Halo Endpoint blocks unapproved AI apps, and operators can quarantine and release agents.

ServiceNow

An AI Gateway provides real-time controls for MCP transactions, and public materials describe shutting down agents that exceed their permissions.
Risk and compliance

Halo

Available now

Halo records evidence that supports governance programs, and on-demand security audits check each agent’s runtime controls.

Coming soon

Framework packs for the EU AI Act and NIST AI RMF, and continuous risk scoring for each AI system.

ServiceNow

Public materials describe AI risk assessment with frameworks aligned to NIST and the EU AI Act.
Cost and value

Halo

Available now

Account, agent, and per-user budgets with automatic actions, cost analytics by agent and model, Halo Auto, and configurable route profiles.

On the roadmap

Executive value reporting with spend, adoption, and routing savings by team, cost center, and AI system.

ServiceNow

Public materials describe cost tracking and ROI dashboards for AI spend.
Workflow integration

Halo

Available now

Audit logs and gateway decisions export as CSV and JSON for the tools your teams already use.

On the roadmap

ITSM integration starting with ServiceNow, plus SIEM export and signed webhooks.

ServiceNow

Public materials describe governance built on ServiceNow workflows and its CMDB.

Why Halo

Why choose Halo over ServiceNow

Simple, secure, and efficient AI, governed where it runs.

Built for AI, working on day one

Halo needs no other platform to run. Its own sensors, gateways, and agent runtime start governing your AI use as soon as they are in place.

Guided rollout

Enforcement on devices and in browsers

Halo Endpoint can audit or block unapproved AI apps on macOS and Windows, and Halo Browser can audit, warn, or block on supported AI sites.

A sandbox for every agent

Agents run as non-root workloads with default-deny network egress and signed configuration, and operators can quarantine and release them at any time.

Credentials agents never see

Provider and app credentials stay bound at the Halo gateway. Agents receive scoped capabilities and never hold raw keys.

Budgets that act

Account, agent, and per-user budgets can notify owners, pause new operations, or stop active deployments, and Halo Auto picks a model for each request from a curated pool.

Start today with published pricing

Self-serve plans start at $99 per month, and our team guides enterprise rollout of Halo Browser and Halo Endpoint.

Roadmap

What Halo is building next

Each of these extends the controls Halo runs today.

Capabilities marked coming soon or on the roadmap reflect current plans and may change.

  1. Coming soon

    SIEM export and webhooks

    Send decisions, approvals, and inventory events to your SIEM and alerting tools, with API tokens for your own automation.

  2. Coming soon

    Framework packs

    EU AI Act and NIST AI RMF controls mapped to Halo checks and runtime policies, with an exportable evidence pack.

  3. Coming soon

    Continuous risk scoring

    Scheduled and change-triggered audits keep a risk score current for each AI system between reviews.

  4. On the roadmap

    ITSM integration

    Route Halo decisions and approvals into ITSM workflows, starting with ServiceNow.

Buyer checklist

Questions to ask in your evaluation

Bring these to each vendor you evaluate. Here is how Halo answers them.

  1. What does the platform need before it can govern your AI?

    How Halo answers

    Halo Browser and Halo Endpoint on managed devices, or agents running on Halo. No other platform is required.

  2. Does the platform enforce policy on each surface, or only report what it finds?

    How Halo answers

    Halo enforces on each surface it covers. It blocks unapproved AI apps on devices, audits, warns, or blocks on supported AI sites, and allows, denies, or holds agent calls at the gateway.

  3. How quickly can you reach a first working control on your own AI use?

    How Halo answers

    You can start on a self-serve plan right away, and our team guides enterprise rollout of Halo Browser and Halo Endpoint.

  4. Which capabilities are generally available today, and which are preview or planned?

    How Halo answers

    Halo labels each capability as available, guided rollout, preview, coming soon, or on the roadmap, on this page and across our site.

  5. Can budgets stop spend, or only report it?

    How Halo answers

    Halo budgets can notify owners, pause new operations, or stop active deployments at the account, agent, and user level.

Sources and review

Last reviewed October 19, 2026. Information about ServiceNow comes from public materials and may change. Product names belong to their owners. Capabilities marked coming soon or on the roadmap reflect current plans and may change. If you spot something out of date, please let us know.

Put a halo around the AI your business runs.

See discovery, runtime policy, approvals, and evidence working together on your own use cases.