Printify Catches Sensitive Data at the Browser Before It Reaches an AI Tool with CloudEagle.ai

"Secure Browsing replaced what used to be a manual routine, chasing users, sending questionnaires, blocking domains one at a time. Now sensitive data gets flagged the moment it's typed, redirects happen automatically, and the log is already there when we need it."

- Edgar Peics, CTO, Printify

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1,400+

sensitive data submissions blocked.

35%

reduction in premium model spend

100%

of actions logged automatically

1,400+

sensitive data submissions blocked.

35%

reduction in premium model spend

100%

of actions logged automatically

Challenge

Employees pasted sensitive data, PII, financial records, proprietary details, into AI tools with no check at the point it was typed.
Users opened AI tools IT had never approved, with no way to catch it or redirect them.
Users defaulted to expensive models for simple tasks, with no guidance on which model actually fit the job.

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Solution

Secure Browsing detects sensitive data the instant it's typed and blocks it before it's sent.
Unapproved tools redirect users automatically to the sanctioned alternative.
Costly models get blocked for simple tasks, with users guided to the right model instead.

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Result

Over 1,400 sensitive submissions get blocked a month, before any of it reaches an AI vendor.
100% of blocks and redirects get logged automatically, so the next audit starts with a record, not a reconstruction.
Premium model spend is down 35%, with routine tasks routed to the model that actually fits.

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Challenge

Printify’s question that mattered most wasn't which AI tools were unapproved. It was what happened inside the ones that already had sign-off.

An employee could open Claude or ChatGPT, tools the company itself had rolled out, and paste a customer's Social Security number, a contract figure, a piece of proprietary code, and nothing would catch it.

The security team could say what tools existed. They couldn't say whether the data inside them was safe. Shadow AI made that gap worse, sitting in a place nobody could see at all.

The company had one policy for everyone: block what IT knew about. For a team that needed a tool, that policy got in the way.

For data leaving through a tool the company had already approved, it did nothing, because it was built to police which tools people opened, not what they typed once they were already inside one.

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Solution

Secure Browsing detected PII, PHI, and other sensitive information the instant it was typed, whether the destination was an approved AI tool or one nobody had signed off on.
When a user opened an unapproved AI tool, they were redirected in-browser to the sanctioned alternative through a flash page.
Specific models were blocked outright while others stayed available, guiding users toward the right tool for the task instead of the most expensive one by default.
Enforcement applied by role and department rather than one blanket rule, so teams that needed a tool kept access while overexposure elsewhere was closed.
Every detection, redirect, and block was logged automatically, creating a standing audit trail instead of a one-off email chain.

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Why CloudEagle.ai?

Printify evaluated several options and chose CloudEagle.ai because it could govern AI at the browser without adding another tool to the stack.

A natural extension of the SaaS management platform already in place. CloudEagle.ai was already a leader there, so AI governance mostly meant adding integrations and went live in the browser from day one.
Nothing hidden. EagleIQ's seven telemetries find AI tools even when they never go through SSO, and the browser extension catches sensitive data the moment it's typed, in approved and unapproved tools alike.
Policy by role and department. Teams that need a tool keep access, instead of one blanket rule that either blocks work or leaves gaps.
An audit trail without the manual work. Every flag, redirect, and block is logged automatically, so the next audit starts with a record, not a reconstruction.
One product for two pressing problems. Data protection had become as urgent as AI cost, and CloudEagle.ai solved both without a separate tool for each.

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Impact

Sensitive Data Gets Caught, Not Discovered Later

Secure Browsing blocks over 1,400 sensitive data submissions a month, each one stopped before it ever reached an AI vendor.
If someone pastes a customer's SSN into Claude, an already-approved tool, the paste gets blocked before it's sent. Blocked at the moment it happens, not flagged after a review.
A tool nobody approved gets the same check as one IT signed off on. There's no unmonitored tier.

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Enforcement Without the Manual Chase

100% of flags, redirects, and blocks get logged automatically, with no one writing any of it down by hand.
When an auditor asks for proof the policy works, the team pulls a timestamped record instead of reconstructing what happened.
Secure Browsing sends the vendor security questionnaire the moment a new tool is detected, no manual follow-up required.

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Coverage Matches Actual Usage

Premium model spend is down 35% since costly models stopped being the default for routine tasks.
Someone opening Opus to write a two-line email gets steered to a cheaper model automatically.
Marketing uses ChatGPT for drafting copy; engineering uses Claude for code. The policy doesn't force one rule onto both teams.

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The Transformation

Before CloudEagle

Sensitive data pasted into approved AI tools with no check at the moment it happened.

Shadow AI tools invisible entirely, with no record of what was pasted into them either.

One blanket policy applied to every team, regardless of actual need.

No way to answer, with certainty, whether a leak would be caught before it reached the vendor.

No audit trail of what had been flagged, when, or by whom.

After CloudEagle

Sensitive data flagged the instant it's typed, into an approved tool or an unapproved one.

Shadow AI tools brought under the same detection as sanctioned ones.

Policy applied by role and department instead of one rule for everyone.

Security can answer, with certainty, that a leak is caught before it reaches the vendor, every time

Every flag, redirect, and block logged automatically into a standing audit trail.

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