Shadow AI Is Already Inside Your Company. The Fix Is Worth Billions.

01 /The Concept

Shadow AI has a governance problem – and Willow is the startup trying to solve it without sacrificing employee productivity in the process.

The reality inside most companies: employees don't only use officially approved AI platforms. They use their personal AI tools too – Claude, ChatGPT, Cursor, OpenClaw, and dozens of others, each chosen by individual employees based on their own preferences.

This is called "Shadow AI" – the layer of unauthorized AI activity that runs beneath the enterprise stack. The problem is that these tools have no defined boundaries for accessing internal data and systems, unlike sanctioned corporate platforms.

Unsanctioned AI tools can reach anywhere in the corporate network that an employee can access – and do not only what the employee instructs, but whatever the AI decides to do on its own initiative. AI agents can hallucinate, take unexpected actions, or cascade in ways that weren't intended – including modifying or destroying internal data.

Companies currently face two unattractive choices: attempt to ban unauthorized AI tools from corporate systems (sacrificing employee productivity) or look the other way and accept complete chaos (which eventually produces catastrophic results). Neither works.

The deeper issue is not just a security incident waiting to happen. It's an architectural problem. The existing enterprise security model has simply stopped matching current reality.

Here's what Willow does about it:

- Discovers the activity of any AI tools, AI agents, and MCP servers running inside the corporate network – including ones the IT team didn't know existed.

- Applies access controls in real time at the moment an operation is being executed – not just by tool name or employee role, but by what the AI is actually trying to reach and what it intends to do.

- Logs every permitted and blocked action for later analysis with security monitoring tools.

- Allows any previously granted permission – to a tool or an employee – to be revoked in a single click, completely, with no risk of missing a permission buried somewhere.

Key differentiators from conventional enterprise AI security tools:

- Willow handles Shadow AI that was never formally registered or authorized by the employee.

- It blocks unwanted actions during execution, not after the fact.

- It's self-service. Any employee can quickly register their personal AI tool in Willow and request permissions – without consuming IT security team time or slowing down their work.

- The platform includes an extensive catalog of modules for wrapping any enterprise API in MCP format, making it easier for AI tools to access – and for the company to control that access.

Deployment takes one day: connect the corporate authentication system, add official tools, and configure baseline permissions. After that, employees start adding their personal tools themselves. In most cases, all they need to do is point their Claude, ChatGPT, or Cursor at the Willow platform.

When an employee leaves, Willow receives an automatic notification via the connected HR system and instantly revokes all permissions granted to that employee's tools.

Base pricing is $10 per connected employee per month. Larger companies can negotiate custom terms with additional features.

Willow was founded last year by alumni of Wix, which already runs the platform for all 5,000 of its employees. The startup also has other paying customers and recently raised its first $7 million.

02 /Why It Matters

The current AI tool situation rhymes with a problem companies solved once before, in a different context.

For a long time, the corporate network boundary was clean: work computers stayed at the office and accessed corporate systems; everything else was personal. Then laptops arrived and people started bringing their own devices in. Then the internet made it possible to work inside corporate systems from anywhere. Then smartphones became work devices too.

Managing that sprawl of personal devices required real discipline – defining and enforcing which devices could access what, under what conditions. An entire market emerged around this: Bring Your Own Device (BYOD) management. That market was worth $153 billion last year and is projected to reach $619 billion by 2034.

Now the same problem is repeating itself – but with personal AI tools.

It's easy to imagine that in a few years, every capable employee will carry not just their own preferred AI tools but their own AI agents, purpose-built to extend their specific skills. Those agents will move with them from job to job.

And eventually, employees who haven't built AI capability will simply be outcompeted. Companies may start evaluating candidates not just on personal competencies, but on what AI agents they bring with them – the tools that multiply their effective output.

What's likely emerging is a market for "Bring Your Own AI" (BYOAI) platforms – potentially larger than BYOD, given how much more tightly AI tools integrate with core work.

The scale of the problem is already measurable. In 98% of companies, employees use unauthorized AI tools; 76% of employees do it. And between 38% and 57% of employees admit to uploading sensitive corporate information – internal documents, customer data, source code – into unauthorized tools like ChatGPT or Claude Code.

03 /Opportunities

As Willow correctly notes, governing Shadow AI isn't a problem you solve by bolting a patch onto an existing cybersecurity platform. It's an architectural problem that requires rethinking existing systems – or building new ones from the ground up.

The fundamental reason: a human employee's access rights and the access rights of AI agents acting on their behalf need to be different.

An AI agent may do something the human didn't ask for – due to misunderstanding, unsolicited initiative, or a plain malfunction. Access boundaries also need to account not just for what agents can reach, but for what level of actions and decisions they can execute: some decisions require a human signature, someone who can be held accountable for the outcome. And a single employee may operate many different AI agents, each focused on different tasks – meaning each needs tailored permissions, with different tiers of allowed actions within each.

The resulting system is genuinely complex – not the kind of thing that gets covered by a quick patch.

Which is, of course, good news. Because it opens up a real market for next-generation BYOAI security platforms – one that someone reading this could start building right now.