The Case For Secure AI Enablement
Explore the data behind AI adoption, its risks, and why organizations are increasingly embracing a secure, enablement-based approach.
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Generative AI is everywhere—and
it’s transforming how work gets done
Generative AI has redefined productivity in ways we can’t ignore:
But this rapid proliferation comes with risks—and employees aren’t waiting for organizations to catch up.
Shadow AI:
The reality of unsanctioned usage
While organizations try to control or restrict AI usage, employees are bringing tools into the workplace anyway:
of knowledge workers are already using generative AI
of users report bringing their own AI tools into the workplace
of users have passed off AI-generated work as their own
This unchecked, Shadow AI usage introduces major risks:
Sensitive data leaks expose proprietary information
Compliance failures violate privacy laws
No visibility leaves security teams blind to what’s being shared, by whom, and where
Policies that block access aren’t working. Instead, they only push AI usage off-network, increasing risk and limiting visibility.
A Better Approach:
Secure AI Enablement
The data is clear: Employees want AI tools, and organizations need control. Leading enterprises are shifting to an enablement-based strategy that delivers:
Security Without Compromise
Equip employees with trusted, secure access to the AI models and tools they want.
Control and Visibility
Monitor usage, manage risks, and maintain complete oversight over AI activities.
Seamless Productivity
Give workers the AI tools they need, wherever work happens.
