Your Data is Not Safe with Employees Using Generative AI

Why? Because they just want to do their best work. And if you’re not offering them the right tools, they’ll find them elsewhere, even if it means using unsecured, unvetted Gen AI platforms.

I was talking with a friend who leads a major firm. He thought investing in a single Gen AI model tailored to their industry datasets was enough. But here’s the truth: Every Gen AI engines are or will integrate your industry’s datasets one way or the other. The real advantage lies in choosing the best AI models and training employees to use them properly.

But that’s where many organizations fall short.

Employees will always seek out the tools that help them succeed. If your systems don’t measure up, they’ll go external, increasing the risk of mishandled data. In fact, a recent report found that 75% of employees in desk-based jobs use AI tools without the knowledge of their employers, often bypassing internal systems that lack the latest functionality​ This is why 78% of cybersecurity leaders admit to experiencing breaches, leaks, or data exposure, even with data protection measures in place​When companies don’t provide approved, but most of all high-performing AI tools, shadow AI—unauthorized employee adoption of external AI—becomes a significant risk. High-profile incidents like Samsung’s breach, where employees used ChatGPT for proprietary data, underline the importance of sanctioned tools​.Experts warn that shadow AI makes it far easier to leak sensitive data to 3rd parties, putting proprietary data and compliance at risk.

So what’s the solution?1- Offer multiple AI tools for different tasks, with the best AI “engine” in mind (systems evolve fast).2- Train employees on the strengths and limitations of various tools.

Invest in ongoing workshops and formal education to keep skills current.3- Communicate improvements and innovations regularly.4- Ask for feedback regularly from employees to refine policies and tools.

When employees are well-versed in AI, they’re less likely to make costly mistakes with sensitive company data. Research confirms that 98% of organizations believe that improved data security training would mitigate insider-driven data exposure and loss events​ The bottom line? It’s not about restricting tools; it’s about empowering your workforce. The more knowledge and resources you provide, the less risky behavior you’ll see. Data loss prevention starts with education, not control alone.

So, remember, your data is not safe with employees using Gen AI, without proper guidance, not just rules.

How are you keeping your teams agile and equipped with the best AI tools?

Please share.