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Shadow AI Monitoring

The strategic technology partner for scalable organisational growth.
OVERSIGHT

AI is already in your organisation

Your teams are already using AI. The real question is: do you have full visibility into which tools are being used, what data is being shared, and what risks your organisation may be exposed to?

AI adoption is accelerating across most organisations. Employees are using ChatGPT, Claude, Gemini, Copilot and other generative AI tools to complete tasks and boost productivity. While these tools deliver real benefits, they also create blind spots when usage happens outside IT governance, procurement or security review.

With our managed services, our skilled IT professionals handle all aspects of your technology infrastructure, from network security and cloud solutions to data backup, recovery, and responsive help desk assistance.

insight

What is Shadow AI?

Shadow AI, similar to shadow IT, refers to unapproved AI applications and generative AI tools operating outside sanctioned tools and security oversight. These tools expand your attack surface and create security risks that IT and security teams may not detect in time.

Zenzero’s Shadow AI Monitoring service provides complete visibility across your organisation. We identify shadow AI tools, monitor AI usage, and track application activity to understand where AI systems are being accessed and what types of data flows are involved.

Why Zenzero?

Zenzero combines proven cyber security expertise with practical AI governance to help organisations gain visibility and control over Shadow AI. As the only UK MSP with NCSC Cyber Incident Responder accreditation via Zensec, supported by a 24/7 Security Operations Centre, CREST-certified penetration testing, and hundreds of successful incident response engagements, we help businesses address the risks associated with unauthorised AI usage. 

Our approach goes beyond identifying AI activity. We help IT and security teams assess risk, strengthen access controls, establish approval processes for AI tools, and implement governance frameworks that support secure and compliant adoption. 

With monitoring that integrates seamlessly into existing environments, organisations gain visibility into AI usage across office-based, remote, and hybrid teams. This helps reduce risk, maintain compliance, and identify opportunities to adopt AI safely and responsibly.

expertise

Our approach

Our approach includes:

  • Discovery of unauthorised AI, unapproved tools and shadow AI activity
  • Monitoring network activity and access logs for AI service usage
  • Identifying sensitive data leakage and unintentional exposure
  • Assessing risks of shadow AI and potential security vulnerabilities
  • Providing real time visibility into AI apps and generative AI apps
  • Supporting regulatory compliance and AI risk management

Importantly, our monitoring is privacy-focused. We track AI tool usage, data flows and AI services being accessed – not the content of individual conversations or personal accounts. This ensures full control and governance oversight without compromising employee privacy.

Stop managing AI in the dark. Gain real time visibility, protect sensitive company data and govern AI adoption with confidence.

Shadow AI Monitoring

Gain visibility and control over AI usage across your organisation.

AI tools are already being used across your business, often without formal approval or oversight. Our Shadow AI Monitoring service helps you identify unauthorised AI applications, monitor how data is being shared, and reduce security, compliance, and governance risks. By providing clear visibility into AI activity, we help your teams embrace innovation safely while maintaining control of sensitive information and regulatory obligations.

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Still have Qs?

Questions we
often get asked:

Does this monitor individual employee conversations?

No. We do not monitor the content of conversations. We track which AI services are accessed, what types of data are involved and usage patterns across teams – not individual employee activity. This ensures governance oversight without surveillance.

What AI services can you detect?

We monitor hundreds of AI tools including ChatGPT, Claude, Gemini, Copilot, Midjourney, DALL-E, GitHub Copilot and emerging generative AI tools. The platform continuously updates as new AI apps enter the market.

How does Shadow AI Monitoring work?

Our solution integrates into your existing systems to track application usage, network activity and connections to AI services in real time. This provides complete visibility into AI tool usage while maintaining minimal impact on user experience.

What happens when risky AI usage is detected?

You maintain full control. We provide alerts aligned to your company policies. You decide whether to block access, require review, recommend sanctioned tools or engage teams to assess business value.

How quickly can it be deployed?

Deployment typically takes 5–10 business days. It integrates into your existing environment without requiring major infrastructure changes.

Why is this important under regulations like the EU AI Act?

Emerging regulations increase accountability around AI systems and data protection. Shadow AI monitoring helps demonstrate governance, control and regulatory compliance while reducing the risk of significant data breaches.

What visibility do we receive?

You receive:

  • Complete inventory of all AI tools and AI applications in use
  • Risk assessments highlighting potential security risks
  • Analytics showing shadow AI usage patterns across business functions
  • Real time alerts for policy violations
  • Custom dashboards aligned to governance and risk management objectives
What risks can Shadow AI create for organisations?

Without effective Shadow AI monitoring, organisations can face a range of security, compliance, and governance challenges. As employees increasingly use AI tools such as ChatGPT, Claude, Gemini, and Copilot, it can become difficult to understand what data is being shared, which tools are being used, and whether appropriate controls are in place.

Common risks include:

  • Sensitive data leakage where confidential business or customer information is exposed to external AI models.
  • Compliance issues resulting from potential breaches of GDPR, the EU AI Act, data protection standards, or internal policies.
  • Unapproved AI tools being used without formal approval, governance, or security review.
  • Data breaches caused by company or customer data being entered into external AI services.
  • Governance blind spots that limit visibility into how AI is being used across the organisation, making it harder to identify and manage risks.
 
 
 
 

Still have questions? Contact Us