That gap is the normal state of AI adoption right now, not an outlier. And the instinct it triggers, lock it down, is the one thing nobody actually wants. Blocking AI works, but no one wants security controls to be the reason the business slows down.
The Gap Between What You Approved And What’s Running
Security teams sanction a handful of GenAI tools. Members find and use far more than that, and sensitive data moves into both the approved list and everything outside it. In one environment, security had sanctioned a handful of GenAI tools, and Jazz’s endpoint agent found 1223 running. That gap between what is approved and what is actually in use is the normal state of GenAI adoption today, not the exception.
The reason most security teams don’t see that gap is where their current tools are looking. Network tools and CASB technology are built to inspect connections to known, sanctioned domains. They do not see what a member types once a page has loaded, and a personal account on a sanctioned domain looks the same as a corporate one from the network alone. The blind spot sits inside the browser, not on the network, which is exactly where GenAI usage happens.
Why a proxy, a CASB and a DLP all miss the same thing
The network sees the connection. The endpoint sees the action. Everything else about GenAI visibility follows from that.
A domain is not an account, though a CASB can sometimes tell. Instance awareness reads a tenant identifier out of decrypted traffic, so a proxy can separate your corporate ChatGPT workspace from a personal login. It works where you decrypt, on apps a vendor maintains a signature for. That’s the short list, not the 1,223.
Desktop apps and clipboards are not uploads. Gateway-style DLP inspects uploads: a file chosen in a browser dialog and posted to a known service. The ChatGPT desktop app, Claude’s desktop app, Cursor and the assistants built into IDEs move data over their own channels, and a paste into any of them is not a file upload. There is nothing for an upload-inspection engine to inspect.
Personal accounts never log in through you. SSO logs and sanctioned-app reports cover the apps you federated. A personal account created with a Gmail address never touches your identity provider, so it never produces the events a CASB dashboard is built on. The tools people adopt on their own leave no trace in the tools you own.
Survey data agrees. In a Gartner survey of 302 cybersecurity leaders (March through May 2025), 69% of organizations suspect or have evidence that employees are using prohibited public GenAI, and Gartner predicts that by 2030 more than 40% of enterprises will have a security or compliance incident linked to unauthorized shadow AI (Gartner, November 19, 2025). Netskope’s Cloud and Threat Report 2026, drawn from network analytics between October 2024 and October 2025, found that 47% of GenAI users do so through personal accounts their companies aren’t overseeing (as reported by Cybersecurity Dive, January 6, 2026). That 47% was measured from the network, so desktop-app and off-network use sit outside it. Our inference, rather than Netskope’s finding, is that the true share is higher.
Visibility From The Endpoint, Reasoned Across Four Dimensions
Jazz closes that gap with a single endpoint agent that captures data-handling actions, including GenAI prompts, copy and paste, and file uploads, across every browser and every application. There’s no browser extension to install and no per-app integration project to schedule before you see anything.
What makes that visibility useful rather than just more noise is that Jazz reasons about every movement across four dimensions before it ever reaches you. Data is what’s actually moving and what it means, not just a keyword match. Systems is where it came from and where it’s going, since a sanctioned corporate GenAI account is not the same destination as a personal one. People is who moved it, their role, and whether this is normal behavior for them. Business is whether the movement fits a known, sanctioned business process.
A movement only becomes an incident if the four dimensions, taken together, suggest something is wrong.
Every GenAI Incident Arrives Already Investigated
That reasoning is Melody’s job. Melody is Jazz’s AI Investigator, and she investigates every flagged movement across the four dimensions, writes the incident story, assigns severity, and deduces the outcome: monitored, nudged, blocked, or allowed. Instead of a raw notification you have to go chase down, you read a complete story of what happened, who was involved, and whether your business should care.
What Early Deployment Looks Like
Coverage starts on day one. It’s one agent, one install, with no per-app integration project to schedule before you see anything. In a typical 30-day deployment, that single agent processes around 2 million signals, investigates roughly 220,000 events, identifies about 1,300 real violations, and surfaces around 80 SOC-ready incidents. Those figures reflect all data movement Jazz sees, GenAI included, not a GenAI-only count. Everything else is filtered out before it ever reaches your queue.
Some Common Questions
Can you see prompts in browser-based ChatGPT? Jazz sees GenAI activity through file uploads, drag-and-drop, and pasted content going into a GenAI tool are captured on both macOS and Windows. There is no browser extension to install and no per-app integration to build for each GenAI tool, on either platform.
What about personal versus corporate accounts? Jazz can apply a different response depending on whether a member is acting in a corporate GenAI account or a personal one, for example allowing your sanctioned enterprise account while nudging or blocking a personal login.
Does this need a browser extension? No. Coverage comes from a single, lightweight endpoint agent, not a browser extension and not a per-app integration. It works across every browser and every application on the endpoint.
What happens when sensitive data heads into a GenAI tool? You choose the response per app. Nudge sends a notification reminding the member of company policy while the action still goes through. Block stops the action, with an optional override that records a business reason. Smart Block acts only when sensitive content is detected, rather than on every action in the app.
None of this means locking GenAI down. It means seeing it clearly: what your team is actually using, what’s moving into it, and whether that movement fits how your business actually works. Sanctioned tools, shadow tools, and personal accounts, all from one endpoint agent, all reasoned through before anything reaches your queue. That’s what it looks like to let your team use GenAI and still know exactly what’s moving into it.
