Shadow AI isn’t a policy PDF — it’s a browsing signal
Subtitle: See ChatGPT, Copilot, and Claude usage in Browsing Insights before the board asks.
Every client leadership team got the memo: “We need an AI policy.”
Few got the telemetry: “Who used which AI tool, from which device, with what data exposure risk?”
Dual-Strike XISEM classifies AI tool sessions in Anti-Venom browsing telemetry and surfaces them in Browsing Insights and COBRA² detection paths.
What we detect (conceptually)
Sessions to known AI SaaS domains (ChatGPT, Microsoft Copilot, Claude, Gemini, etc.)
Duration and frequency — not just “someone visited once”
Correlation with identity, device posture, and location class
Optional COBRA rules for unsanctioned AI on regulated endpoints
Why agent + extension matter
Browser-only DLP misses context. Anti-Venom paired with the XISEM Agent gives:
Authenticated user correlation where identity infeeds exist
Policy enforcement paths (warn / block / watermark) when you move from learning to enforce
Agent relay for scalable ingest
Operator playbook
Roll extension in learning mode — collect two weeks of AI usage
Browsing Insights → filter AI tool sessions → export talking points for client steering committee
Define sanctioned vs unsanctioned tools in browser policy
Enable COBRA detection for high-risk combinations (e.g., AI tool + file-share category same session window)
The conversation shift
Instead of “We banned AI,” you bring “Here’s who used what, here’s the policy tier, here’s what we blocked this month with evidence.”
That’s how security teams stay credible while the business adopts AI anyway.
Start: Anti-Venom rollout → Browsing Insights → dual-strike.com/downloads
AI domain classification updates with threat intel and SaaS catalogs — confirm categories in-console for your scope.