DefinitionFrameworkCompliance

What is AI governance?

AI governance is the framework of policies, processes, and controls that organizations use to manage AI usage responsibly. It covers everything from acceptable use policies to data protection, compliance, and accountability for AI-driven decisions.

Glossary

AI terms explained

50+ terms

Defined

Governance Pillars

Key pillars of AI governance

Every feature designed to help your team work smarter with AI.

Acceptable use policies

Define what AI tools can be used for, what data can be shared, and what types of decisions AI can inform or make.

Data protection

Ensure sensitive, confidential, and regulated data is protected from exposure to third-party AI services.

Transparency and accountability

Maintain audit trails, usage logs, and clear ownership for AI-assisted work and decisions.

Access management

Control who can use AI tools, what data they can access, and what permissions they have within AI platforms.

Monitoring and reporting

Track AI usage patterns, security incidents, and compliance metrics across the organization.

Training and awareness

Educate team members on responsible AI use, data handling, and organizational AI policies.

Benefits

Why organizations need AI governance

Prevent data breaches and regulatory violations from uncontrolled AI usage

Build trust with customers, partners, and regulators through transparent AI practices

Reduce legal and reputational risk from inappropriate AI-generated content

Enable faster AI adoption by providing clear guardrails and guidelines

Meet emerging regulatory requirements like the EU AI Act and NIST AI RMF

Create accountability for AI-assisted decisions across the organization

FAQ

Frequently asked questions

Is AI governance only for large enterprises?

No. Any organization using AI tools benefits from governance basics — acceptable use policies, data protection, and access controls. Start small and expand as AI usage grows.

How does TeamPrompt support AI governance?

TeamPrompt provides DLP scanning, access controls, usage analytics, and audit logging. These features form the operational foundation of an AI governance framework.

What is the first step in implementing AI governance?

Start with an acceptable use policy that defines what AI tools are approved, what data can be shared with them, and who is responsible for oversight. TeamPrompt helps enforce these policies technically.

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What Is Data Loss Prevention (DLP)?

Data loss prevention (DLP) detects and blocks sensitive data from reaching AI tools. Learn how DLP works and how TeamPrompt implements it.

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What Is Shadow AI?

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How it works

Three steps from install to full AI security coverage.

Install

Add the browser extension to Chrome, Edge, or Firefox — or deploy it to your whole team via MDM. No proxy or VPN needed.

Configure

Enable the compliance packs for your industry, set DLP rules, and add your team's prompts to the shared library.

Protected

Every AI interaction is scanned in real time. Sensitive data is blocked before it leaves the browser. Your team has a full audit trail.

Ready to secure your team's AI usage?

Drop your email and we'll get you set up with TeamPrompt.

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