---
sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

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ft:locale :

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ft:publication_title :

    - Brazil Enable AI

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---

# Establishing AI governance

# Establishing AI governance {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read  
Define policies, assign roles, and configure guardrails for responsible AI deployment across your organization.

Establish the governance framework that keeps AI deployments responsible, secure, and aligned with your organizational policies before activating AI capabilities across your organization. Governance is not a one-time setup; it is an ongoing discipline that grows alongside your AI adoption.

## AI governance

AI governance on the ServiceNow AI Platform encompasses the policies, roles, and technical guardrails that control how AI solutions behave, who oversees them, and how you maintain accountability. Define your organization's AI usage policies: which use
cases are approved, what data AI can access, and how outputs should be reviewed before action is taken.

To learn more about AI policy considerations and AI policy stakeholders see [AI governance on the ServiceNow AI Platform](https://www.servicenow.com/docs/7s59Gx21D6peez56Bzzmag "As organizations increasingly adopt AI to drive efficiency, innovation, and customer experience, AI governance becomes essential to ensure responsible use, regulatory compliance, and alignment with enterprise goals. The ServiceNow AI Platform provides a comprehensive governance framework through key roles and applications that work together to manage AI across its life cycle.").

## AI Control Tower

AI Control Tower brings the teams responsible for AI across your organization into a single workspace, so they can expand AI adoption while maintaining oversight. The Home page gives governance leaders a portfolio-level view at a glance --- the highest-priority work to act on, the makeup of the AI inventory, governance posture across quality, safety, security, compliance, and risk, regulatory risk classification, and the value AI assets deliver. From the same workspace, teams plan AI strategy, discover and inventory AI assets, govern risk and compliance, monitor AI in production, and measure value.

As AI activity grows, AI Control Tower surfaces the work that matters instead of leaving teams to search for it. Recommendations and AI insights flag the highest-priority governance issues and opportunities, ordered by role, severity, and confidence. Monitoring scores your AI systems for quality and safety, adds AI-generated insights, and tracks trends so regressions surface before they reach users. When an issue calls for judgment, a conversational assistant works through it with you in the workspace, proposing actions you can accept, refine, or reject, while routine fixes can run hands-off through an automated agent.

To inventory your AI, monitor its quality and safety, track risk and compliance, and measure the value it delivers from one workspace, see [AI Control Tower](https://www.servicenow.com/docs/GtzcVtTj4bnKFuufQ7ld1A "Gain visibility into your organization's AI footprint, manage the lifecycle of AI investments, govern risk and compliance, and measure the business impact of AI with AI Control Tower.").

## AI Risk and Compliance

For organizations in regulated industries or subject to frameworks such as the EU AI Act, the AI Risk and Compliance application helps you manage AI capabilities ethically, mitigate AI risks, and maintain compliance. Map AI solutions to regulatory requirements and maintain audit-ready documentation.

To map AI solutions to regulatory requirements such as the EU AI Act and keep audit-ready documentation, see [AI Risk and Compliance](https://www.servicenow.com/docs/Y1ZcJTiYQe5ih_UZNwPEoQ "The AI Risk and Compliance (AIRC) application gives your risk and compliance team a dedicated workspace to assess AI-specific risks, attest to controls, demonstrate regulatory compliance, and manage AI-related cases for the AI capabilities and other AI assets your organization deploys.").

## AI Guardian

AI Guardian is built on the ServiceNow Small Language Model (SLM) and monitors generative AI interactions to detect offensive content, prompt injection attacks, and sensitive topics. Because LLM outputs are
probabilistic and human interactions are unpredictable, Guardian provides a real-time safety layer that operates independently of the underlying language models.

To add a real-time safety layer that detects offensive content, prompt injection attacks, and sensitive topics in your generative AI interactions, see [AI Guardian](https://www.servicenow.com/docs/hXgIzfPFp70q0Z9gLnSNWg "AI Guardian provides the runtime protection layer for your generative AI deployments, evaluating requests and responses in real time to detect offensive content, prompt injection attacks, and sensitive topics that aren't suited for an AI response.").

## AI security

Strengthening your overall security posture, including access controls, data handling policies, and solution-level permissions, is critical for responsible AI deployment. Review and configure the platform security settings that apply to AI capabilities on your instance.  
Note:  
Governance policies should be established before activating generative AI skills or deploying AI agents. This approach subjects every AI interaction on your instance to your organizational controls from day one.

To review and configure the access controls, data handling policies, and solution-level permissions that apply to AI on your instance, see .