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Watch the Shadow AI Platform Overview

 

In this short walkthrough, Chris Harbort from our Secure Operations team shows you, in plain terms, what's really happening with AI inside your business, and how to get control of it. 

✅  Know exactly which staff are using AI, and how often  

✅  See what files and information are being uploaded  

✅  See every AI tool being used across your business, approved or not  

✅  Decide which tools are safe to use, and which aren't 

✅  Set rules by team or department  

✅  Stop confidential data leaking out through AI tools 

Why having AI Control Matters

Visibility First

Visibility First

Understand:

  • Which AI tools are being accessed
  • AI adoption trends across the organisation
  • File upload activity
  • Time spent using AI tools

Visibility is the first step in moving from unmanaged AI adoption to a governed approach

Governance & Control

Governance & Control

See how organisations can:

  • Monitor AI usage before enforcement
  • Approve business-owned AI tools
  • Control access by team or department
  • Create an audit trail for approved usage

KMTech's recommended approach focuses on governance and accountability rather than blanket restrictions.

Data Protection

Data Protection

Learn how governance controls can help organisations protect:

  • Personally identifiable information (PII)
  • Financial data
  • Identity information
  • Sensitive business information

Approved AI tools can be monitored for sensitive data exposure while still enabling productivity gains.

Resources to help you manage your Shadow AI control

What Every Leader Needs to Know About Shadow AI 

Cyber Resilience at the Board Level A Leadership Breakfast (4)
Request a Shadow AI Consultation (4)

AI Governance Checklist & Leadership Guide

Download a practical resource that helps organisations:

• Evaluate current AI governance practices
• Improve visibility and control over AI usage
• Reduce confidentiality and compliance risks
• Build a roadmap for responsible AI adoption

Shadow AI On-demand Webinar

Shadow AI: The Reality of AI Usage at Work & What Leaders Need to Do Next

Watch the webinar recording and learn how organisations are addressing Shadow AI, improving governance, and enabling AI adoption safely without limiting productivity. 

 

 

 

FREQUENTLY ASKED QUESTIONS

What is Shadow AI, What are the Risks, How to manage it.

Request a Shadow AI Consultation (5)

Shadow AI refers to the use of artificial intelligence tools and applications that operate outside an organisation's approved governance, security, or IT processes.

This can include employees using public AI tools to draft content, analyse information, summarise documents, or automate work tasks without organisational visibility or oversight.

Why is Shadow AI becoming a concern?

AI adoption is often happening faster than governance frameworks can keep up.

Many organisations support innovation and productivity, but may not know:

  • Which AI tools are being used
  • What data is being shared with those tools
  • Whether usage aligns with organisational policies
  • What security, privacy, or compliance risks may exist

Without visibility, it can be difficult to manage risk effectively.

What are the most common risks associated with Shadow AI?

Common areas of concern include:

  • Sharing sensitive or confidential information with public AI tools
  • Lack of visibility into AI usage across the organisation
  • Inconsistent governance and policy enforcement
  • Compliance and regulatory obligations
  • Data protection and security risks
  • Difficulty demonstrating accountability and control

 

Is Shadow AI only a technology issue?

No.

While technology plays an important role, Shadow AI is increasingly becoming a business, governance, risk, and leadership challenge.

Business leaders, operations teams, risk managers, compliance professionals, and IT teams all have a role to play in ensuring AI is adopted responsibly.

 

 

How do I know if Shadow AI exists in my organisation?

In most cases, it already does.

Employees are often exploring AI tools independently to improve productivity and streamline their work. The key question is not whether AI is being used, but whether your organisation has visibility into that usage and appropriate governance processes in place.

 

Does this mean we should restrict or block AI?

Not necessarily.

Most organisations are looking for ways to enable AI safely rather than prevent its use altogether.

Effective AI governance focuses on balancing innovation, productivity, security, and risk management while providing employees with approved and supported ways to use AI.

Not sure what AI tools are already in use in your business?