As artificial intelligence becomes progressively embedded across business operations, a new risk has emerged. This risk comes not from a lack of adoption, but from misplaced confidence when it comes to visibility. Recent research reveals that while 72% of organisations think they have full visibility into AI use, 65% continue to uncover shadow or unauthorised activity. This stark disconnect highlights a growing ‘AI control gap’ that is quickly becoming one of the most pressing challenges in enterprise security. Most businesses, especially those in highly regulated sectors, acknowledge the risk, but don’t understand the breadth or know how to control it properly.
With the right context, channel partners can help customers navigate a rapidly widening gap between AI adoption and control. So what do MSPs and MSSPs actually need to understand about this shift, and where’s the real opportunity to lead?
Navigating the Gap: Understanding Where it Comes From
At the centre of this issue is a fundamental misunderstanding of how AI tools are actually being used day to day. Employees are increasingly turning to generative AI platforms to boost productivity, often without formal approval or oversight. These tools are easy to access, difficult to track, and frequently operate outside traditional security perimeters. As a result, sensitive data is being exposed, compliance requirements are being breached, and many organisations do not even realise it is happening.
What’s become clear is that banning AI usage altogether will not work, especially when employees are already seeing value from these tools. In the case of a full ban, employees may resort to using generative AI on personal devices, outside any form of visibility or control. This creates even greater risk and removes any chance of intervention.
This is where channel partners, particularly MSPs and MSSPs, step into a critical role. As trusted advisors, they are well-positioned to help organisations navigate the complexity of AI adoption while addressing the risks that come with it. For partners, the widening AI control gap presents both a technical challenge and a strategic opportunity. So how can channel professionals best support customers in this space?
The Opportunity: Empowering AI Users, Securely
For many partners, the first step is helping customers understand that visibility does not equal control. Many organisations, more than 60 percent according to research, already have frameworks, policies, and oversight in place. This is progress, but policy alone, or basic monitoring tools, is no longer enough.
AI usage is fragmented across teams, devices, and applications, making it difficult to build a complete picture. Governance exists, but behaviour sits outside of it. Channel professionals need to guide organisations toward a more realistic understanding of risk, one that accounts for both sanctioned and unsanctioned AI usage.
This shift creates a significant opportunity. AI is not just another security concern. It is a new category of risk that intersects with productivity, data governance, and human behaviour. Partners who can turn that complexity into clear, actionable insight will stand out.
In conversations with customers, the demand is consistent. They want practical guidance. What tools should be allowed? How should data be handled? How can employees use AI safely without slowing the business down?
From a commercial perspective, this opens the door to new services and revenue streams. Advisory-led engagements around AI governance, risk assessments, and policy development are becoming more valuable. There is also growing demand for continuous monitoring and behavioural analysis to detect risky usage in real time. AI usage control is not a one-off project. It is an ongoing service model, and it plays directly to the strengths of MSPs and MSSPs.
What Proper AI Usage Control Looks Like and Why It Matters
Effective support requires more than technical solutions. Proper AI usage control needs to balance security with usability. Overly restrictive policies push employees toward shadow tools, increasing the very risks organisations are trying to reduce.
Instead, controls should focus on visibility, education, and context.
This means understanding how AI is used across the organisation, identifying high-risk behaviours, and guiding employees in real time. It also means building a culture of responsible AI use, where people understand not just the rules, but why those rules exist. Channel partners have a key role to play here, helping organisations embed safe AI usage into everyday workflows rather than treating it as an afterthought.
Ultimately, the AI control gap is not a failure of technology. It is a reflection of how quickly adoption has outpaced governance. Businesses want the benefits of AI, but many are moving without the guardrails to do it safely.
As this gap continues to widen, the role of channel partners becomes more important. Those who combine technical depth with strategic insight will lead, helping customers move from guesswork to control, and turning AI from an unmanaged risk into a managed advantage.
