The Upload That Almost Left: A Mid-Market AI Media Company's Cisco Umbrella Replacement

It was a Thursday afternoon when a research engineer drag-dropped a fine-tuned model checkpoint into a personal cloud workspace, intending to grab it again from a home laptop after dinner. The Cisco Umbrella console showed a resolution to a perfectly legitimate SaaS domain. Nothing in the stack flagged it. Nothing in the stack could have flagged it. The destination was clean. The payload was the company's quarter of R&D. That single near-miss is what kicked off the Cisco Umbrella replacement project for this mid-market technology company.

They build AI-native video and media tools. Their crown jewels live in upload traffic. DNS resolution was telling them which doors employees walked through; it wasn't telling them what they carried.

What changed first, before the why

Six months later the same engineer tried the same shortcut and Dopamine DLP held the upload at the endpoint, inline, before a single byte left the device. The policy fired on content (model artifact signatures, prompt logs, internal asset metadata), not on the destination. Nothing about the user's workflow visibly changed. The engineer got a soft warning, a link to the approved storage option, and went on with their day. The CISO didn't have to call anyone.

That kind of quiet save is the headline outcome from this rollout, and it's the one the security team didn't have language for under Umbrella. They had visibility into where traffic was headed. They didn't have visibility into what was inside it. The team's read of the case for replacing Cisco Umbrella in 2026 lined up almost exactly with their internal threat model: DNS-only filtering is fine for known-bad sites and useless for trusted-destination data leaks.

The honest test for us wasn't "did we block a phishing page." It was "did we see the model leaving." Umbrella never saw it. dope.security saw it the first week.

- CISO, a mid-market technology organization

Quick read

• Industry: Technology
• Replaced: Cisco Umbrella
• Deployed: dope.SWG and Dopamine DLP

Backing into the why

Once the team saw what content-aware enforcement looked like on a few real upload paths, the rest of the decision was mechanical. The architecture removed a class of risk Umbrella could only describe in retrospect through downstream logs. There was no SWG hop to add latency to the heavy upload sessions the creative team ran every day. And the proof of value (run on a slice of the engineering fleet for two weeks) produced a richer event stream than the incumbent's reporting layer had ever generated.

The CISO had been considering the broader DLP-and-cyber-threats story for SWG-plus-CASB stacks for most of the year, but until they could put a real content-aware enforcement layer on the endpoint, the conversation stayed theoretical. Dopamine DLP made it concrete. Policies ran on the device, classification happened locally, and decisions landed before the upload session was even established.

It also mattered that the agent didn't slow down a creative session. The team had been burned before by an inspection product that added enough latency to break a model run, and a fast-moving R&D group will route around any tool that costs them iteration time. dope.SWG's on-device proxy didn't make a transcontinental round trip part of every upload, which meant adoption didn't require negotiation with the people doing the work.

A support relationship the team could actually use

The team had been a Cisco shop for years and had learned to pace their requests around ticket queues. Inside the first month with dope.security, they ended up in a small shared workspace with named engineers (not a Tier 1 triage line) and a 24/7 white glove global support team that answered policy questions in minutes rather than days. When a research engineer hit a corner case at midnight local time, the engineer who answered was an actual security engineer, already familiar with the customer's environment. The CISO described the support model in the renewal write-up as "the part of the budget I worry about least," which is not how she described the incumbent.

Results

• Encrypted upload visibility went from effectively zero to full HTTPS payload inspection on managed endpoints.
• Content-classified DLP events surfaced at a double-digit multiple of what Umbrella's reporting produced.
• Endpoint impact on creative sessions stayed within noise; no measurable latency added to model runs.
• Three-year total cost came in materially lower than the Umbrella renewal track.
• Time to ship a new policy dropped from a multi-day change request to a same-session edit.

FAQ

Q: Can dope.security inspect AI model uploads without slowing down a model run?

Yes. Dopamine DLP classifies content on the endpoint before the upload session is established, so inspection runs locally rather than through a remote cloud. Creative and research workflows generally don't see a perceptible difference in session times after rollout.

Q: How does Dopamine DLP decide what's a model artifact versus a normal file?

The DLP layer reads file structure and content signatures locally on the device, not just file extensions. That means it can classify model checkpoints, training prompts, and other ML artifacts even when they're renamed or repackaged, and apply policy at upload time accordingly.

Q: Did the team need to keep Cisco Umbrella running alongside dope.security during the transition?

No, and they didn't want to. After the proof of value, dope.SWG and Dopamine DLP rolled out in stages across the endpoint fleet and Umbrella was retired at its next renewal. There was no period of both products inspecting the same traffic.

About dope.security

dope.security, the Distributed On-device Proxy Endpoint, is the preferred security vendor for security leaders across SMBs, midsize enterprises, Fortune 500 companies, and the world's top VC and PE firms. Deployed in 83 countries, dope.security protects web, data, and AI traffic globally through its patented fly-direct architecture.