dope.security vs Jazz: AI DLP With the Gateway or Without It

Legacy DLP asked you to describe every sensitive thing your company owns in advance, in regex, and then tune those rules forever. Jazz and dope.security looked at that and reached the same conclusion: pattern matching produces a haystack of false positives, and AI classification should read the content instead. Where the two of us differ is architecture, specifically where the AI DLP actually lives.

We agree on the diagnosis

Jazz runs a campaign called "DLP Sucks." We're not going to pretend that's unfair. Anyone who has inherited a legacy DLP deployment knows the shape of it: hundreds of rules, a data labeling project nobody ever finished, and an alert queue so noisy it trained the security team to ignore alerts.

Jazz describes its answer as AI-native DLP that replaces rule writing, labeling, and alert chasing with AI that understands context. Jazz says it investigates across four dimensions: data, systems, people, and business. dope.security built Dopamine DLP on the same premise. No regex. No manual rule configuration. No tuning period.

So this isn't an argument about whether AI belongs in DLP. Both companies already answered yes, and both shipped. The interesting question is what the AI is attached to.

Two architectures, one decision

Jazz publishes a forensic endpoint agent that runs in user space at reportedly under 1% CPU. Jazz says it captures copy/paste, screenshots, GenAI prompts, screen sharing, file uploads, shadow IT, and personal cloud sync, with visibility across desktop apps, browsers, CLI tools, sanctioned SaaS, shadow IT, and personal cloud accounts. Jazz makes a point of the deployment story: no browser extension required, no per-app integrations required. That's a real engineering achievement and it deserves the credit it gets.

dope.security went the other way. Dopamine DLP isn't a separate agent watching the operating system. It's built into dope.endpoint, the same on-device proxy that already terminates and inspects your web traffic. The agent is already in the path. SSL inspection and break/inspect happen right there on the device, and traffic flies direct to the internet with no backhaul to a data center. So when a user uploads a file or types a prompt, the component that classifies the content is the same component that decides whether the request goes through.

That single decision cascades into everything else in this comparison. An agent that only observes has to report what it saw. An agent that sits in the traffic path can also decide what happens next, in the same instant, without asking another product to act on its behalf. The agent itself is deliberately small: Mac native and Windows, under 100 MB RAM, and up to 4x the performance of legacy proxy SWGs that backhaul traffic to a data center first.

What Dopamine DLP does inside the proxy

Dopamine DLP extracts text from documents, PDFs, and AI prompts, sends it to the dopecloud Dopamine DLP API for LLM classification, and gets a verdict back in a second or two. It runs on OpenAI zero-data-retention APIs under HIPAA and BAA terms. No training on customer data. No retention. dope.security holds US Patent no. 12,464,023 for Dopamine DLP, and the company is SOC 2.

Modes are Block, Monitor, and Off, with Warning mode coming soon. Policies are per-policy rather than global, with exceptions for users and groups, bypass lists including dope-managed bypasses, and automatic exemption for tenants you've already approved through Cloud Application Control. Every violation carries a Dopamine explanation, a plain-language AI summary of why it fired, so nobody reverse engineers a rule ID. Violations forward to your SIEM.

The AI coverage is specific: ChatGPT, Claude, Perplexity, Abacus, and Copilot. And because the classifier lives in the proxy, the enforcement point is inline. The upload doesn't complete. The prompt doesn't land.

Breadth of signal versus depth of enforcement

Here's the honest part, and we'd rather say it than have you discover it on a call.

Jazz's activity capture is broader than what dope.security publishes. Copy/paste, screenshots, and screen sharing are on Jazz's list and not on ours, and those are local actions that never become a network request at all. If your threat model centers on a departing employee screenshotting a customer record, Jazz is covering ground Dopamine DLP doesn't claim. That's the real boundary, and pretending otherwise would waste your time.

One related point is worth stating precisely, because comparisons often garble it. dope.security's inspection happens on the device, not inside a browser. Native client traffic runs through the same on-device proxy that browser traffic does, so a prompt typed into a desktop AI client is inspected like any other request. The caveat is certificate pinning. Some native applications pin their certificates and won't accept on-device break/inspect, and those need a bypass. dope.SWG raises an SSL error notification when it happens so an admin can create the bypass in a few clicks, and a bypassed app is an app nobody is inspecting. Find out which of your native clients pin before you sign.

Now the counterpoint, which is equally honest. Dopamine DLP doesn't arrive alone. It ships inside dope.SWG, so the same agent and the same console also give you URL filtering, SSL inspection, anti-malware, Cloud Application Control, analytics, and policy push measured in seconds. Add CASB Neural and data at rest in OneDrive and Google Drive is covered too, with one-click remediation on anything over-shared. Jazz doesn't claim to be a secure web gateway, a CASB, or an SSPM, and we're not going to score them on categories they never entered.

So the trade is legible. Jazz gives you more kinds of user activity on the endpoint. dope.security gives you the DLP plus the gateway, the tenant controls, and the SaaS data posture in one place.

The false positive question, fairly

Both companies make noise reduction the headline benefit, so let's put both sets of claims on the table with attribution.

Jazz publishes a "reduce false positives by 99%" claim. Jazz also points to a reported deployment at a 5,000-employee organization where daily DLP alerts dropped from tens of thousands of low-confidence detections to around ten pre-investigated incidents per day. Those are Jazz's numbers, published by Jazz, and the mechanism behind them is Melody, their agentic investigator, which Jazz describes as analyzing events, delivering pre-investigated answers, and suggesting policy improvements. Jazz frames enforcement as "precise prevention": nudges, justification requests, and targeted blocks instead of blanket controls.

We'll say plainly that the investigation model is genuinely good. Handing an analyst a finished narrative rather than a raw alert is the right product instinct, and Jazz built it deliberately.

dope.security doesn't publish a false positive percentage, so we won't invent one. What we'll tell you is the mechanism. Classification is done by an LLM reading the actual content, not a regex matching a shape. There are no rules to tune, which removes the entire category of false positives that come from a badly written rule nobody wants to own. And every violation carries its Dopamine explanation, so the triage step of "why did this fire" is answered in the record itself.

Different routes to the same goal. Jazz reduces noise by investigating events after they happen. dope.security reduces noise by never generating the rule-driven noise in the first place.

Side by side

Where Jazz is a good fit

If DLP is the project, and the mandate is specifically to replace a legacy DLP deployment that's drowning the team, Jazz is a strong choice. Their buyer segmentation says as much: the DLP Initiator, the Legacy Migrator, the Culture Keeper, the Amplifier. Those are DLP-shaped buyers with a DLP-shaped budget.

Jazz is also the better fit when insider activity off the network matters most. Screenshots, screen sharing, and clipboard behavior are their territory. And if you already have a web gateway you're happy with, adding Jazz next to it is a coherent architecture rather than an overlap.

Choose Jazz if, choose dope.security if

Choose Jazz if DLP is a standalone initiative, if your risk sits in copy/paste and screen capture as much as in network egress, if you want an agentic investigator producing finished incidents for a small analyst team, and if your gateway question is already settled.

Choose dope.security if you're also carrying a web gateway decision, if you'd rather run one agent and one console than two of each, if you want the AI prompt inspected by the same component that enforces URL policy and blocks the personal ChatGPT login, and if you want SaaS data at rest covered by the same platform. Our proof is in deployment speed: a Fortune 100 fleet crossed 18,000 devices in weeks, and Outreach Health had nearly its entire fleet secured inside a single week.

See it on your own traffic

Try dope.security free in production, on real devices, with Dopamine DLP in Monitor mode so nothing breaks while you look. Or book a 20-minute demo and we'll show you a prompt getting classified and blocked live.