27/10/2026
🤖 What is your AI agent reading before your user even types a prompt?
AI governance often focuses on models, their outputs, and API access. But what about the data AI-powered scripts collect before a prompt is even sent?
Running in the browser, these scripts can access form fields, session tokens, browser storage, and sensitive application data - potentially before users even interact with an AI feature.
The result? Blind spots in data privacy, regulatory compliance, and competitive security that traditional AI governance controls may not address.
In our latest blog post, we explore why AI data governance needs to extend to the browser layer, and the three capabilities organizations need to close the gap:
🔍 Continuous AI script discovery and data access mapping
🛡️ Runtime data access enforcement
📋 Audit-ready runtime evidence
Read the full article to understand the risks and how to strengthen AI data governance at the source.
👉 Read it now at Jscrambler's Blog https://eu1.hubs.ly/H0zqJ9K0
Most enterprise AI governance programs focus on the model: what it was trained on, what it produces, and who can use it.