Shadow AI: Identifying and Mitigating Your Organization's Invisible Risk

A developer uses a personal ChatGPT Plus account to debug proprietary code.
A marketing manager tries an unapproved AI writing tool because it is faster than the approval queue.
A financial analyst pastes spreadsheet data into a free chatbot to get “quick insights.”

That is Shadow AI: AI usage happening outside organizational approval, oversight, and guardrails. And yes, it is already happening in your company.

Why Shadow AI is Everywhere (and So Dangerous)

Zero visibility and control: no audit trail, no policy enforcement, no accountability

Data leakage magnet: code, contracts, customer data, internal docs, straight into unknown models

Compliance risk: PII, PHI, financials processed in ways you cannot defend later

ShadowAI - KonaSense

The fix is not “block everything”
The fix is to bring Shadow AI into the light and make safe AI easier than unsafe AI.

How KonaSense does itDiscover: detect unapproved AI apps, personal accounts, risky extensions, and agent workflows
Observe: understand who is using what, where data flows, and what risk patterns exist
Govern and secure in the moment: allow, block, redact, or coach users before data leaves your environment
Across the real workflow: browser, desktop, IDEs, and agents through KonaProxy

Turn invisible risk into managed advantage
The goal is not to stop people from using AI. The goal is to help them use AI safely.

The conversation shifts from "Are you using AI?" to "How can we help you use AI safely and effectively?"

Your AI copilot with a seatbelt.
If you want to see Shadow AI in your environment, book a demo.