Developers, employees, and business teams are rapidly adopting AI tools to improve productivity. However, many of these tools operate outside approved IT and security processes.
This is creating a growing problem known as Shadow AI.
Shadow AI refers to unauthorized AI applications being used within an organization. Examples include employees uploading business data into public AI platforms, using AI coding assistants without review, or integrating AI tools into workflows without governance controls.
The risks include:
• Data leakage
• Compliance violations
• Intellectual property exposure
• Security blind spots
• Unauthorized third-party access
A Shadow AI Assessment helps organizations identify AI usage, evaluate risks, and establish governance controls that support secure AI adoption.
As AI continues to expand across the enterprise, visibility into AI usage is becoming just as important as visibility into cloud applications and endpoints.
Read the complete guide:
https://digitaldefense.co.in/blogs/shadow-ai-assessment-guide-2026
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