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n8n vs ServiceNow AI Control Tower
n8n
Platform for AI agents and workflows you can see and control, built visually or with code
ServiceNow AI Control Tower
What ServiceNow calls a central hub to discover, secure, govern, observe, and measure AI
Short answer
n8n says it is for building AI agents and workflows; ServiceNow calls AI Control Tower a central hub to discover, secure, govern, observe, and measure AI.Source 1, Source 2 ServiceNow says AI Control Tower inventories third-party AI, and its docs describe a connector for n8n; managing agents built outside n8n is not publicly documented.Source 2, Source 3
Where each one sits
Six layers of running AI agents at a company, and what each product’s own public sources say it covers.
These aren’t the same kind of product
n8n
- Identity and access: Not publicly documented
- Agents across organizations: Not publicly documented
ServiceNow AI Control Tower
- Build agents: Not publicly documented
- Host and run agents: Not publicly documented
- Agents across organizations: Not publicly documented
At a glance
What each one is
n8n
n8n says it is a platform to build AI agents and workflows visually or with code, run as fully managed n8n Cloud or self-hosted.Source 1, Source 22 Its AI nodes implement LangChain’s JavaScript framework; its Agents feature, in preview, keeps agents in projects alongside workflows.Source 8, Source 9
ServiceNow AI Control Tower
ServiceNow describes AI Control Tower as a central hub to discover, secure, govern, observe, and measure AI across an enterprise.Source 2 ServiceNow says it inventories agents, models, and MCP servers from ServiceNow and third parties, tied to your configuration management database (CMDB).Source 2
The differences that matter
Building agents
Agents built on other platforms
n8nIn preview, n8n agents live in n8n projects.Source 9 n8n can expose tools to external agents over MCP; managing agents built elsewhere is not publicly documented.Source 10
ServiceNow AI Control TowerConnectors discover AI assets on external platforms and sync them into the inventory; ServiceNow documents one for n8n.Source 3, Source 23
ServiceNow’s community documentation says only assets marked Managed get governance workflows, risk assessments, and monitoring.Source 24
Stopping an agent
n8nIn preview, unpublishing an agent stops users, channels, and schedules from running it until it is published again.Source 9
ServiceNow AI Control TowerThe kill switch can contain a managed agent and revoke all of its active credentials across connected systems.Source 5, Source 25
n8n can also revoke an OAuth MCP client, disconnecting it at once.Source 26 ServiceNow says only managed agents in the Agentic AI category can be deactivated from their record.Source 27
For security teams
What a security review asks, answered from each vendor’s public documentation.
Full comparison
18 criteria in five groups. Every cell links to its source, or says no public source answers it.
| n8n | ServiceNow AI Control Tower | |
|---|---|---|
| What it is | ||
| What it is and who it’s for | n8n says it is a platform to build AI agents and workflows visually or with code.Source 1 It runs as fully managed n8n Cloud or self-hosted.Source 22 | ServiceNow describes it as a central hub to discover, secure, govern, observe, and measure AI across an enterprise, on the ServiceNow AI Platform.Source 2 |
| Maturity | A new minor version ships most weeks, with a stable version for production.Source 20 The Agents feature is in preview; n8n’s changelog dates it to September 2026.Source 9, Source 20 | ServiceNow announced general availability on 6 May 2025.Source 21 ServiceNow’s community documentation says AI Gateway became generally available on 10 September 2026.Source 35, Source 36 |
| Control | ||
| Agent registry and discovery | In preview, agents live in n8n projects alongside workflows.Source 9 A registry of agents built outside n8n is not publicly documented. | ServiceNow says it auto-discovers agents, models, MCP servers, and datasets into one CMDB-tied inventory.Source 2 Connectors reach external platforms, including n8n.Source 3, Source 23 |
| Identity and access control | Project roles set what a user can do in a project (self-hosted Community must be registered).Source 37 n8n says access to agents (preview) follows n8n roles.Source 16 | ServiceNow’s community documentation says AI Gateway issues scoped OAuth 2.1 tokens for MCP connections through it.Source 11 The platform has multi-provider SSO.Source 30 |
| Ownership, policy, and revocation | Human approval can be required before an AI Agent node runs a tool.Source 4 In preview, an agent can be unpublished.Source 9 Enterprise adds custom roles.Source 38 | ServiceNow says AI assets can carry ownership.Source 2 The kill switch covers agents on ServiceNow and four connected platforms.Source 39 |
| Audit log and observability | Enterprise plans can stream events to syslog, a webhook, or Sentry, with audit events for the instance MCP server.Source 31 Agent sessions (preview) show tools used.Source 9 | Audit logs record some workspace configuration changes; each kill-switch containment is audited.Source 5, Source 32 Traces come via trace connections or SDK instrumentation.Source 40 |
| Connection | ||
| How agents connect | The MCP Server Trigger node exposes a URL.Source 41 For cloud-based clients of its built-in MCP server, n8n says to make the instance publicly accessible.Source 26 | ServiceNow’s community documentation says agents using AI Gateway call a ServiceNow-hosted URL instead of the MCP server, which must be remote.Source 12, Source 35 |
| Agents across organizations | The MCP Server Trigger node can expose n8n tools to external AI agents.Source 10 Bringing in agents another organization controls: not publicly documented. | Third-party systems like Microsoft Agent 365 can discover publishable agents via an open API.Source 42 Bringing in agents a partner controls: not publicly documented. |
| Protocol support | Can act as an MCP client, and as an MCP server through a trigger node (SSE or streamable HTTP, not stdio).Source 10, Source 41 First-party A2A: not publicly documented. | ServiceNow’s community documentation calls AI Gateway its MCP enforcement layer.Source 11 ServiceNow’s separate AI Agent Studio can connect external agents over A2A.Source 43 |
| Frameworks, models, and clouds supported | AI nodes implement LangChain’s JavaScript framework, with your choice of agent, LLM, and memory.Source 8 Managing agents built elsewhere is not publicly documented. | ServiceNow says it inventories agents, models, and MCP servers from ServiceNow or third parties.Source 2 Its docs describe a connector for n8n.Source 3 |
| Operations | ||
| Deployment options and data residency | n8n Cloud runs on Microsoft Azure, with data stored in Frankfurt, Germany.Source 13, Source 17 Self-hosted data is wherever you host n8n.Source 17 Business is currently self-hosted only.Source 17 | ServiceNow says it runs on the ServiceNow AI Platform.Source 2 Data may go to a central ServiceNow environment in another region or a third-party cloud.Source 15 |
| Compliance attestations | n8n says the company holds a SOC 2 Type 2 report, with annual independent audits.Source 13, Source 33 Enterprise customers get the SOC 2 report; others, the SOC 3 report.Source 13 | ServiceNow says the company has undertaken an annual SOC 2 Type 2 attestation since 2013.Source 34 It says the company holds ISO/IEC 42001 certification.Source 34 |
| Support and SLA | Dedicated support, with guaranteed response times available through SLAs, is Enterprise-only.Source 17 An uptime SLA percentage is not publicly documented. | ServiceNow’s company-wide Customer Support Addendum states a 99.8% availability SLA for production instances.Source 44 Its community docs point to Now Support.Source 45 |
| Time and effort to get running | A 14-day n8n Cloud trial with Pro plan features, or a one-step local setup that needs Docker.Source 14, Source 46 Paid self-hosted plans activate with a license key.Source 18 | Initial setup uses a Guided Setup widget.Source 47 Discovering outside agents needs a connector and credentials you supply.Source 23, Source 48 Features depend on your license.Source 49 |
| Pricing model and public prices | By monthly workflow executions, with unlimited users on paid plans.Source 17 Cloud Starter is $20 and Pro $50 a month, billed annually.Source 17 Self-hosted Community is free.Source 18 | Included in every tier; full management of external AI needs a separate license.Source 19 ServiceNow’s community documentation says usage-based costs may apply.Source 35, Source 50 |
| Building | ||
| Agent building tools | A visual editor with JavaScript or Python anywhere in a workflow, LangChain-based AI nodes, and the Agent Builder, in preview.Source 1, Source 8, Source 9 | ServiceNow’s separate AI Agent Studio creates, configures, and deploys agents.Source 6 Creating new custom agents is supported only in the Prime tier.Source 19 |
| Model access | AI workflows can connect LLM providers such as OpenAI, Anthropic, and Google, and combine several models.Source 51 Bring-your-own-LLM features use your API credentials.Source 52 | Model provider settings cover ServiceNow-supported providers, such as Now LLM Service and AWS Claude, and ones your organization configures.Source 32 |
| Integrations and ecosystem | Every paid plan includes every integration.Source 17 n8n lists 600+ community-built templates for agentic workflows, and its node panel has a registry of MCP servers.Source 53, Source 54 | ServiceNow’s community documentation names discovery connectors for Databricks, Snowflake, and Hugging Face, and says connectors can also be custom-built.Source 24, Source 45 |
Which to choose
Choose n8n if
- You want to build agents and workflows visually, which n8n says it supports, with JavaScript or Python where you need it.Source 1
- You want to self-host on premises or in a private cloud, starting with the free Community edition.Source 14, Source 18
- You want published prices based on workflow executions, with unlimited users on paid plans: Cloud Starter is $20 a month, billed annually.Source 17
- You want models from providers such as OpenAI, Anthropic, and Google in one workflow, with tools from external MCP servers.Source 10, Source 51
Choose ServiceNow AI Control Tower if
- Your ServiceNow tier already includes AI Control Tower, which ServiceNow says ties AI assets to your CMDB.Source 2, Source 19
- You want one inventory of agents, models, and MCP servers across platforms, with connectors that discover AI assets outside ServiceNow.Source 2, Source 23
- You want a kill switch that can contain a managed agent and revoke all of its active credentials, with an audit trail.Source 5, Source 25
- You want AI compliance content: ServiceNow’s pack covers the EU AI Act, NIST AI RMF, California SB 53, and Colorado’s AI Act.Source 55
Questions buyers ask
Do n8n and AI Control Tower support MCP and A2A?
n8n can act as an MCP client and as an MCP server; first-party A2A is not publicly documented.Source 10, Source 26, Source 41 ServiceNow’s community documentation calls AI Gateway its MCP enforcement layer; ServiceNow’s separate AI Agent Studio can connect external agents over A2A.Source 11, Source 43
How is each one priced?
n8n prices by monthly workflow executions; in preview, one agent turn counts as one execution.Source 9, Source 17 ServiceNow says to contact it for AI Control Tower pricing; every tier includes it.Source 2, Source 19 ServiceNow’s community documentation says usage-based costs may apply.Source 35, Source 50
Can either one be self-hosted?
n8n can be self-hosted, and the Community edition is free.Source 14, Source 18 Air-gapped self-hosted installs use a license certificate; otherwise the license key must ping n8n’s license server daily.Source 17, Source 56 AI Control Tower’s availability to self-hosted ServiceNow customers is not publicly documented.
Can either one connect agents across organizations?
n8n’s MCP Server Trigger node can expose n8n tools to external AI agents.Source 10 AI Control Tower’s open API lets third-party systems like Microsoft Agent 365 discover agents marked publishable.Source 42 For both, bringing in another organization’s agents with access it controls is not publicly documented.
How we compare
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Sources
61 public sources, each with the date we checked it. Every one opens in a new tab.
Source 1: AI Workflow Automation Platform - n8n Back:abcdefghi
Source 2: AI Control Tower - ServiceNow (product page) Back:abcdefghijklmnop
Source 3: AI Service Graph Connector for n8n (ServiceNow product documentation, Australia release) Back:abcde
Source 5: AI agent containment using kill switch protocol manually (ServiceNow product documentation, Australia release) Back:abcdef
Source 6: AI Agent Studio (ServiceNow product documentation, Australia release) Back:abcd
Source 11: What's new in AI Gateway v3.4 - September 2026 release (ServiceNow Community, AI Control Tower articles) Back:abcdef
Source 12: AI Gateway Implementation Guide (ServiceNow Community, AI Control Tower articles) Back:abc
Source 15: AI Control Tower (ServiceNow product documentation, Australia release) Back:ab
Source 19: ServiceNow product tiers (ServiceNow product documentation, Australia release) Back:abcdef
Source 20: Changelog Back:abcd
Source 21: ServiceNow Launches AI Control Tower, a Centralized Command Center to Govern, Manage, Secure, and Realize Value From Any AI Agent, Model, and Workflow (ServiceNow news release, investor relations PDF) Back:ab
Source 23: Discovering AI assets through connectors (ServiceNow product documentation, Australia release) Back:abcd
Source 24: AI Control Tower: What's new in the June 2026 release (ServiceNow Community, AI Control Tower articles) Back:ab
Source 25: Configure AI agent containment using kill switch protocol manually (ServiceNow product documentation, Australia release) Back:abc
Source 27: Deactivate a managed AI agent (ServiceNow product documentation, Australia release) Back to text
Source 30: Multi-Provider SSO configurations (ServiceNow product documentation, Australia release) Back:ab
Source 32: AI model providers (ServiceNow product documentation, Australia release) Back:abc
Source 35: AI Gateway FAQ (ServiceNow Community, AI Control Tower articles) Back:abcd
Source 36: What's new in AI Control Tower for August & September 2026 (ServiceNow Community, AI Control Tower articles) Back to text
Source 39: Control enforcement points (ServiceNow product documentation, Australia release) Back to text
Source 40: Configuring trace connections (ServiceNow product documentation, Australia release) Back to text
Source 42: External Registries (ServiceNow product documentation, Australia release) Back:ab
Source 43: Integrating external AI agents (ServiceNow product documentation, Australia release) Back:ab
Source 44: Customer Support Addendum (ServiceNow legal schedules, Version 12MAR2025) Back to text
Source 45: AI Control Tower Welcome Guide (ServiceNow Community, AI Control Tower articles) Back:ab
Source 47: AI Control Tower release notes (ServiceNow product documentation, Australia release) Back to text
Source 48: Configuring connectors (ServiceNow product documentation, Australia release) Back to text
Source 49: Activating AI Control Tower (ServiceNow product documentation, Australia release) Back to text
Source 50: AI Control Tower Observability & Monitoring FAQ (ServiceNow Community, AI Control Tower articles) Back:ab
Source 55: AI Risk and Compliance Content Pack (ServiceNow product documentation, Australia release, Governance, Risk, and Compliance) Back to text