Employee uploads to AI tools nearly double enterprise risk
📈 The Zscaler 2026 AI Threat Report warns that sensitive enterprise data uploaded to AI and ML applications nearly doubled year-over-year, driven largely by tools like Grammarly and ChatGPT. The report found a 93% increase in enterprise data transfers and identified over 410 million DLP violations tied to ChatGPT and 242 million for Codium, exposing PII, financials, source code and healthcare data. Zscaler recommends inventorying GenAI apps, disabling risky defaults, enforcing zero trust for model interactions and applying inline inspection to protect sensitive information.
