Shadow IT has been seen as a hidden danger for years.
An unmanaged and unsanctioned force that undermines corporate policies, introduces security vulnerabilities and ignores official procurement channels. If you’re an IT professional working at a small- to medium-sized enterprise (SME), there’s about a 90% likelihood shadow IT is a major concern for you, and with good reason. It’s now the second-most common cyberattack vector (right after phishing) with shadow IT linked to 37% of cyberattacks against SMEs.
With generative AI exploding across every corner of the enterprise, we’re seeing the rise of a new iteration: shadow AI. Employees are integrating ChatGPT, Claude, Gemini, and other tools into their workflows, often without the oversight of IT teams.
On the surface, this seems like deja vu: another technology movement threatening security, governance, and operational cohesion. But dismissing or cracking down on shadow AI could be a missed opportunity. Forward-thinking organisations should see it as a signal of unmet need and a chance to turn decentralised experimentation into a strategic asset.
The growth of shadow AI
Our recent report also revealed nearly 90% expressing anxiety over the risks associated with unsanctioned applications and devices. But for most employees, shadow AI has provided support with everyday tasks ranging from writing code, generating marketing copy, automating spreadsheet tasks, or summarising documents.
The fact that employees are adopting these tools on their own tells us something important: they are eager for greater efficiency, creativity, and autonomy. Shadow AI often emerges because enterprise tools lag what’s available in the consumer market, or because official processes can’t keep pace with employee needs.
Much like the early days of shadow IT, this trend is a response to bottlenecks. People want to work smarter and faster, and AI offers a tempting shortcut. The instinct of many IT and security teams might be to clamp down, block access, issue warnings, and attempt to regain control. This adversarial approach might work in the short term but is ultimately unsustainable in the long run. Instead, organisations should look into channeling this grassroots momentum into something secure, scalable, and strategic.
Evolving from monitoring to collaboration
Rather than seeing these tools as a threat, leaders should start to view them as a discovery engine, a window into how their workforce wants to solve problems. Employees using AI independently are effectively prototyping new workflows. The real question isn’t whether this should happen, but how organisations can learn from and build on these experiences.
What tools are employees using? What are they trying to accomplish? What workarounds are they creating? This bottom-up intelligence can inform top-down strategies, helping IT teams better understand where existing solutions fall short and where there’s potential for innovation.
Once shadow AI is recognised, IT teams can move from a reactive to a proactive stance, offering secure, compliant alternatives and frameworks that still allow for experimentation. This might include vetted AI platforms, sandbox environments, or policies that clarify appropriate use without stifling initiative.
Providing support, not obstacles
The key to harnessing shadow AI lies in striking a balance between control and empowerment. Employees need guidance, but they don’t need to be micromanaged. That means establishing policies that ensure sensitive data is protected, AI outputs are validated, and regulatory requirements are met. But it also means leaving room for exploration and trial and error. Organisations that lead with trust, rather than fear, are more likely to build a culture where innovation thrives.
Reclaiming shadow AI also offers an opportunity to democratise AI literacy across the workforce. If employees are already experimenting, give them the training, support, and resources to do so responsibly. Educating teams on bias, model limitations, and data privacy isn’t just good governance, it’s good business.
Turning hurdles into a strategic advantage
Organisations that proactively address shadow AI today will be better equipped for the next wave of enterprise transformation. Embracing this shift will allow organisations to unlock faster ideation, responsive workflows, and a more engaged workforce.
There’s a competitive edge in enabling employees to harness AI that aligns with business goals while maintaining security and compliance. Those who ignore shadow AI risk falling behind, not only in technology, but also in agility, workplace culture, and talent retention.
Much like shadow IT paved the way for cloud-first strategies, shadow AI has the potential to usher in a new era of decentralised, intelligent work. But only if leaders are willing to shift their perspective from gatekeepers to enablers.
About the Author
Rajat Bhargava is CEO of JumpCloud. JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
