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sourceDocumentLink: https://www.servicenow.com/docs/r/australia/it-operations-management

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ft:publication_title :

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---

# AI Control Tower

# AI Control Tower {#ariaid-title1}

Release version: Australia  
Updated November 5, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read
Summarize  
![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI  
This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.  

## Summary of AI Control Tower

AI Control Tower (AICT) is an enterprise-grade governance platform designed to provide centralized visibility, monitoring, and policy enforcement across all AI systems and platforms within an organization.
It addresses the challenge of uncontrolled AI adoption by intercepting AI-related traffic at network, device, or application layers and applying consistent security and data governance policies.
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This solution is critical as organizations use diverse AI platforms including cloud-based large language models (LLMs), browser-based tools, autonomous agents, local models, and embedded services, often without sufficient oversight or visibility, leading to risks such as data leakage, compliance gaps, and shadow AI adoption.

## Key Features

* **Visibility:** Identifies and tracks AI systems and LLMs used across the organization, including agent-to-agent communication, browser AI usage, and local AI model activity.
* **Data Awareness:** Inspects outbound prompts and file uploads, classifying data sensitivity (e.g., PII, financial data, intellectual property) and detecting regulated or confidential data being shared externally.
* **Central Policy Enforcement:** Applies organization-wide AI usage policies by blocking unauthorized AI services, restricting data categories from external sharing, and enforcing conditional access based on risk assessments.
* **Risk and Compliance Monitoring:** Detects potential data leakage and unauthorized autonomous agent activities, and generates audit logs and compliance reports to support regulatory and governance requirements.

## Key Outcomes

* Prevents leakage of confidential data to external AI systems, reducing organizational risk.
* Enhances AI governance and compliance posture through centralized control and monitoring.
* Mitigates shadow AI adoption by controlling AI tool usage and access.
* Increases user awareness of risks related to AI data sharing, promoting safer AI interactions.
* Enables safe deployment and oversight of autonomous AI agents.
* Provides comprehensive audit trails to support compliance and regulatory reporting requirements.  
AI Control Tower (AICT) is an enterprise-grade governance control plane which provides centralized visibility, monitoring, and policy enforcement across all AI systems and platforms within an organization. AICT addresses the
challenge of uncontrolled AI adoption by intercepting AI-related traffic at the network, device, or application layer and applying organization-wide security and data governance policies.

## Business Challenge

As organizations adopt AI systems, multiple AI platforms are available for use. These platforms include including cloud-based large language models (LLMs), browser-based AI tools, autonomous AI agents, local offline models, and
embedded AI services. Organizations currently lack the visibility and control mechanisms necessary to govern these interactions effectively.

Key challenges include:

* Limited visibility into which AI models and services are in use across the organization.
* Lack of awareness about which data is being shared with external AI systems.
* Insufficient oversight of agent-to-agent communication and data exchange.
* Risk of confidential or sensitive data being exposed to unauthorized external systems.
* Unclear permissions and access controls granted to AI tools.
* Compliance gaps in AI-related interactions and data handling.
* User awareness gaps regarding the sensitivity of information shared with external AI systems.

These factors create organizational risk through potential data leakage, compliance violations, and uncontrolled shadow AI adoption.

## AICT Solution

AI Control Tower functions as a comprehensive governance platform that intercepts, monitors, and controls AI-related traffic and interactions. The platform applies enterprise security and data governance policies to provide
centralized oversight of all AI systems and agent activities within an organization.

AICT enables you to maintain granular visibility into AI usage patterns, classify and protect sensitive data, enforce compliance policies, and reduce the risk of unauthorized data exposure.

## Key Capabilities

AI Control Tower provides the following primary functional capabilities:
{#ai-control-tower-concept__entry__2}

| Capability | Description |
|-|-|
| Visibility | Identifies LLMs and AI systems that you can interact with. Tracks agent-to-agent communication, monitors browser-based AI usage, and detects local AI model usage where applicable. |
| Data Awareness | Inspects outbound prompts and file uploads in accordance with policy and consent requirements. Classifies data sensitivity including personally identifiable information (PII), financial data, and confidential intellectual property. Detects when regulated or confidential data is being shared externally. |
| Central Policy Enforcement | Enforces organization-wide AI usage policies. Blocks access to unauthorized AI services, restricts specified data categories from external sharing, and applies conditional access controls based on risk assessment. |
| Risk and Compliance Monitoring | Detects potential data leakage and unauthorized autonomous agent activity. Generates audit logs and compliance reports to support regulatory requirements and organizational governance. |
[ ]

## Business Benefits

AI Control Tower provides:

* Prevention of confidential data leakage to external AI systems.
* Improved AI governance and organizational compliance posture.
* Centralized control over AI tool adoption and shadow AI reduction.
* Increased user awareness regarding AI data sharing risks.
* Safe and monitored deployment of autonomous agents.
* Comprehensive audit trails for compliance and regulatory reporting.

