AI is now part of everyday business, not just the domain of innovation teams. Employees use AI to summarise meetings, draft emails, generate code and analyse data, driving productivity across every department.
However, AI adoption is outpacing governance. Employees are increasingly using AI tools without involving IT or Security teams, leaving many organisations with little visibility into which applications are being used, what data is being shared or whether those tools meet security and compliance requirements.
This gap is widening. According to the Microsoft Digital Defense Report 2025, 60% of organisations have not implemented any AI-specific security controls, despite accelerating AI adoption. As visibility decreases, so does control, making it harder to manage risk, protect sensitive information and govern AI with confidence. [Source: Microsoft Digital Defense Report 2025]
This is why Shadow AI has become a board-level concern. Organisations cannot govern what they cannot see. Gaining visibility into AI usage is the first step towards secure, responsible AI adoption.
Shadow AI means employees using AI applications without the organisation’s knowledge, approval or governance. This covers public AI assistants, productivity tools and AI features built into existing software.
Examples include:
Shadow AI is rarely malicious. Most employees are simply trying to work more efficiently, automate tasks or solve problems faster. Security or compliance risks are usually unintentional.
The problem lies in the lack of visibility.
If security teams cannot see which AI applications are in use, they cannot assess risk, protect sensitive data or put the right governance in place. Policies alone are not enough without visibility across the environment.
Shadow AI creates risks that many organisations cannot identify or manage. Without visibility, even mature security programmes can develop blind spots.
Key risks include:
These risks are not a reason to limit AI adoption. AI can improve productivity, drive innovation and deliver business value. The priority is to adopt AI with the right visibility, governance and security controls.
Effective AI governance starts with understanding how AI is already used across the organisation.
A practical AI governance strategy should focus on five key stages.
The first step is to identify which AI applications employees are using. This creates a baseline for AI adoption and highlights unknown or unapproved services.
Once AI usage is visible, organisations can assess which applications present the greatest risk, what information is being shared and where extra governance or security controls are needed.
With this insight, organisations can develop practical AI policies, approve AI services, define acceptable use and align governance with business objectives. The aim is to support innovation, not restrict it.
Technical controls are essential for effective governance. Microsoft Purview, Microsoft’s unified data governance and information protection platform, helps organisations discover, classify and protect sensitive information. Combined with Data Loss Prevention, sensitivity labels and insider risk management, these tools enable secure AI adoption and reduce the risk of inappropriate data sharing.
AI adoption is evolving as new tools emerge. Governance is not a one-off project. Organisations need ongoing visibility into AI usage to identify new risks, refine policies and adapt controls as their AI landscape changes.
AI governance gives organisations the confidence to embrace AI responsibly while protecting data, reputation and regulatory obligations.
Shadow AI begins as a visibility challenge but quickly becomes a governance challenge. Without a clear understanding of how AI is being used, organisations cannot consistently apply policies, protect sensitive data or manage AI-related risks.
Rather than restricting AI adoption, organisations should focus on making AI usage visible, governed and secure. This enables innovation while maintaining control.
CyberOne helps organisations achieve this through AssureAI, Microsoft Purview and AI governance services. AssureAI helps discover and assess Shadow AI across the organisation, while Microsoft Purview helps classify and protect sensitive information. Together, they provide the visibility and controls needed to govern AI with confidence.
The result is a more secure approach to AI adoption, reducing data exposure, strengthening compliance and giving leadership teams greater confidence that AI is being used responsibly.
See how CyberOne helps organisations uncover Shadow AI, identify AI-related risks and establish practical governance using AssureAI, Microsoft Purview and proven frameworks.
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Register today and discover why effective AI governance starts with visibility