Why We’re Named Jazz

"So… why Jazz?"

Work is like music

Think about what actually moves through your organization on any given day.

A file downloaded before a long weekend. A developer copy-pasting into ChatGPT. An email forwarded to a personal account. A board deck shared on WhatsApp. Each one an action. Each one drawing its own little line. Millions of them, every day, weaving together in a way that's always original — and never exactly the same twice.

That's not noise. That's the sound of your business working.

But for years, DLP tools couldn't hear it that way. They were built with rigid rules and static patterns, and anything that didn't match got flagged. The result? One security team we know had 40,000 unread DLP emails sitting in a single mailbox folder. Not because they weren't doing their jobs — because the tool wasn't doing its job. It was crying wolf so often, nobody could hear the real alerts anymore.

Not every strange movement is wrong. Not every off-key note is a risk.

What makes something actually dangerous isn't the action itself. It's everything surrounding it — who did it, why, what happened before, what role they have, whether this is just how they work on Thursdays. It's the context. The full story.

That's jazz.

The problem with tools that don't listen

Legacy DLP was built for a world that no longer exists: one where data left through email attachments, where risk was defined by content keywords, where rigid rules could capture most of what mattered.

Then came SaaS, then remote work, then GenAI. One of our customers discovered 447 GenAI tools running across their organization. Without Jazz, they had zero visibility into what was flowing into them — source code, customer data, M&A details, all of it.

The "do nothing" strategy that used to be an acceptable calculated risk has become genuinely reckless. But the tools that were supposed to solve this? Many of them just built a faster horse — applying AI to the same broken, rules-first framework. Better classification, same noise.

The core problem was never the rules themselves. It was the assumption underneath them: that a machine can find the problem, and a human can figure out the context. That model was always going to fail. You can't separate the two.

Why we're called Jazz

We named this company Jazz because we believe something most DLP vendors don't:

Your business has a rhythm. A DLP tool should learn it — not fight it.

Jazz is the DLP that intimately understands your organization. Not just individual incidents. The whole picture: your team's patterns, your data flows, your business intent, your exceptions. The way your finance team moves numbers around on the last Thursday of every quarter. The way your engineers always paste things into that one internal tool before shipping. The way that particular user's behavior is a little chaotic but always legitimate.

When Jazz knows all of that, it can do something no rule-based system ever could: tell the difference between your business doing what your business does — and something genuinely wrong.

What this looks like under the hood

Jazz is built on two things working together.

The first is the Endpoint Context Vault — a lightweight forensic agent that runs at the OS level at less than 1% CPU, with no browser extension required. It sees everything: copy/paste, screenshots, GenAI prompts, file uploads, screen sharing. Every user action, across every app — even shadow IT, even homegrown systems — without a single integration to configure.

The second is Melody, your Agentic Investigator. Melody is the intelligence that powers the whole platform. She ingests your policies in plain English (no regex, no rules — just "we're FERPA-regulated" or "protect our source code"), then autonomously investigates any data flow that could be risky. Not with a checklist, but across four dimensions of context: the data, the systems, the people, and the business. She delivers pre-investigated answers, not raw alerts.

The math is what it is: in a typical 30-day deployment, Jazz processes 2 million signals and surfaces around 80 SOC-ready, pre-investigated incidents. That's a 20,000:1 signal-to-noise ratio — and 0 rules written to get there.

As one of our customers put it: "It's like a whole other member of the team doing all this back-end work that no one really wants to do, but giving us real insights that we can act on."

Lead with love, not fear

For a long time, the security industry ran on fear. The message was always some version of: here's what could go wrong, here's the threat, here's the breach cost, now buy something.

Jazz takes a different path. We think the best way to protect your business is to understand it first — really understand it, the way a trusted partner would. Not to treat every employee as a potential threat, not to build walls that slow the business down, but to learn how your organization actually works and protect that.

DLP that's in tune with your business. Finally.

Happy International Jazz Day 🎷

Jazz music was born from the idea that the rules of a composition are just a starting point. The best performances happen when musicians listen to each other, adapt in real time, and find something new in what's familiar.

That's what we're building. A DLP that listens first. That understands your business as deeply as you do. That knows the difference between the natural flow of your work and the one note that's genuinely off.

Today we're celebrating the name. Every day we're earning it.