AI Governance & Shadow AI

AI is already being used inside your organization. Do you know how?

AI Governance helps organisations gain visibility and control over the rapidly growing use of AI across the workplace. By identifying Shadow AI, monitoring approved and unapproved AI applications, and enforcing security policies in real time, organisations can reduce the risk of data leakage, protect intellectual property, and support compliance with NIS2, GDPR, DORA, and the EU AI Act. Rather than restricting innovation, AI Governance enables employees to use AI safely, responsibly, and within a controlled framework.

AI Governance & Shadow AI Control

Your team is already using AI. ChatGPT, Copilot, Gemini, Claude and thousands of other tools may already be active inside your organisation. AI Governance helps organisations gain visibility into approved and unapproved AI applications, identify Shadow AI, prevent data leakage and support compliance with the EU AI Act, NIS2 and GDPR. Magic Stone helps you detect Shadow AI, enforce policy, prevent data leakage and support NIS2, GDPR, DORA and EU AI Act readiness.

Book an AI Governance Call View Velatir Partner Page

Control AI Without Blocking Innovation. Banning AI slows your organisation down. Blindly allowing it creates security, privacy and compliance risk. AI governance gives you the middle ground: visibility, control and audit-ready documentation.

What Is Shadow AI?

Shadow AI refers to artificial intelligence tools used by employees without formal approval, oversight, or visibility from IT, security, legal, or compliance teams. These tools may include ChatGPT, Microsoft Copilot, Google Gemini, Claude, Perplexity, AI coding assistants, image generators, meeting assistants and thousands of specialised AI applications.

AI Governance helps organisations gain visibility into approved and unapproved AI tools across the business, understand how they are being used, identify potential risks and enforce company policies without disrupting productivity.

As AI adoption accelerates, Shadow AI has become one of the fastest-growing cybersecurity, privacy and compliance challenges facing modern organisations.

What Is AI Governance?

AI Governance is the process of identifying, managing and controlling how AI tools are used inside an organisation. It includes AI usage visibility, policy enforcement, risk classification, sensitive-data protection, audit documentation and compliance reporting.

A strong AI governance approach does not stop employees from using AI. Instead, it allows organisations to benefit from AI safely by setting clear guardrails, monitoring usage and preventing risky behaviour before it becomes a business problem.

The key question is no longer whether your employees use AI. The real question is whether you know which AI tools they use, what data they share, and whether that usage follows your company policy.

Common Shadow AI Risks

Data Leakage

Employees may paste sensitive business information, contracts, customer data or internal documents into public AI tools.

GDPR Exposure

Personal data may be processed by unauthorised third-party AI platforms without proper governance or legal basis.

Intellectual Property Risk

Source code, product plans, strategy documents or proprietary know-how can leave the organisation through AI prompts.

Compliance Gaps

NIS2, DORA, GDPR and the EU AI Act all increase pressure on organisations to demonstrate control over digital and AI-related risks.

Reputational Damage

Uncontrolled AI output can create biased, inaccurate or inappropriate content that damages trust with customers and partners.

License Sprawl

Departments may buy overlapping AI tools without central visibility, creating unnecessary cost and fragmented governance.

AI Governance Use Cases

Shadow AI Discovery

Identify AI applications being used across the organisation, including tools that have never been reviewed or approved.

AI Policy Enforcement

Allow approved AI tools while restricting or blocking applications that violate company policy.

Data Leakage Prevention

Reduce the risk of sensitive information being shared with public AI services.

AI Tool Inventory

Create and maintain a continuously updated inventory of AI technologies used across the business.

EU AI Act Readiness

Support documentation, risk classification, governance and oversight requirements introduced by the EU AI Act.

Compliance Reporting

Provide evidence and reporting that support NIS2, GDPR, DORA, ISO 27001 and internal governance requirements.

How Magic Stone Helps

Discover which AI tools are being used across your organisation.
Identify Shadow AI usage outside IT and security approval.
Detect sensitive data entering public or unauthorised AI platforms.
Enforce AI usage policies in real time.
Support GDPR, NIS2, DORA and EU AI Act readiness.
Create audit-ready documentation for AI usage and risk oversight.
Reduce AI-related risk without blocking innovation or productivity.

Powered by Velatir

Magic Stone delivers AI governance through Velatir, an AI monitoring and governance platform designed to help organisations gain visibility into AI usage, enforce policies and reduce the risks created by Shadow AI.

Velatir works silently in the background, helping organisations understand which AI tools are used, what type of data is being shared and where policy enforcement is needed — without disrupting normal workflows.

Learn more about our Velatir AI Governance solution, our NIS2 guidance, and our DORA compliance approach.

AI Governance and Compliance

AI governance is becoming a core part of cybersecurity, privacy and operational resilience. NIS2 requires stronger risk management and cybersecurity governance. GDPR requires organisations to control how personal data is processed. DORA increases expectations around digital operational resilience for financial entities. The EU AI Act adds further pressure to document and manage AI usage.

Without visibility into AI tools, organisations cannot properly manage these risks. AI governance gives security, compliance and leadership teams the evidence they need to understand usage, reduce exposure and demonstrate control.

What You Can Expect in the First Month

Organisations often discover AI usage they did not know existed. This may include multiple public AI tools, personal accounts, departmental subscriptions and employees sharing sensitive information with unapproved platforms.

These findings are valuable. They help define realistic AI usage policies, identify risky behaviour, reduce data leakage and create a practical governance framework that supports innovation instead of blocking it.

Who Needs AI Governance?

AI Governance is relevant for organisations that:

Use Microsoft 365 Copilot, ChatGPT, Gemini, Claude or other AI tools.
Must comply with NIS2, GDPR, DORA or the EU AI Act.
Handle sensitive customer, financial or intellectual property data.
Need visibility into employee AI usage.
Want to enable AI adoption without increasing cyber risk.

Frequently Asked Questions

What is Shadow AI?

Shadow AI refers to AI tools and services used by employees without IT, security or compliance approval. This includes public AI platforms, coding assistants, image generators, meeting tools and other AI applications.

What is AI Governance?

AI Governance is the process of discovering, managing and controlling AI usage across an organisation. It helps companies define policies, monitor AI activity, reduce risk and document compliance.

Why should organisations not simply ban AI tools?

Banning AI often slows innovation and encourages employees to find workarounds. A better approach is governance: allow safe AI usage within clear policies, with visibility and control.

Does AI Governance help with NIS2 and GDPR?

Yes. AI Governance helps organisations detect risky AI usage, prevent unauthorised processing of sensitive data, enforce policy and maintain documentation that supports cybersecurity and privacy compliance.

How does AI Governance support EU AI Act readiness?

AI Governance helps organisations understand which AI tools are in use, classify risks, enforce policies, maintain oversight and create the documentation required to support EU AI Act compliance and governance obligations.

How quickly can AI Governance be deployed?

Deployment depends on the organisation and technical environment, but the goal is to provide fast visibility with minimal disruption to employees and existing workflows.

What does AI Governance usually find?

It often reveals unapproved AI tools, personal accounts, unmanaged subscriptions, sensitive data sharing and departments using AI outside formal company policy.

Ready to See Your Shadow AI?

Gain visibility into AI usage across your organisation, reduce data leakage risk and build a practical AI governance framework that supports NIS2, GDPR, DORA and EU AI Act readiness.

Schedule a Free AI Governance Consultation

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