How eCapital Secured Data at the Moment It Actually Moves

Challenges

eCapital's goal was clear: understand how data flows through their organization in real time, who is touching it, where it is going, and whether that movement is authorized.

Conventional approaches to data visibility, classification, DSPM, static data mapping, were never designed to follow data as it moves. They produce a picture of where data lives, not what happens to it the moment a user touches it.

The Gap - No Existing Tool Was Built to Close

Modern user behavior has outpaced the tools designed to govern it. Users paste proprietary information into public AI models, & without realizing it enters the public domain. Files get compressed, renamed, and sent through channels that bypass every perimeter control. These are not sophisticated attacks, they are everyday behaviors that static, classification-based tools are architecturally incapable of seeing or addressing.

DLP was not the answer either. It relies on rigid rules, has no visibility into the browser or AI activity, and can be bypassed with trivial techniques.

Solution

eCapital deployed Bold's on-device AI platform to accomplish what other solutions could not, real-time visibility into how data moves, & data flow use cases with the ability to act on it in real-time and prevent the risky action.

Because Bold runs locally on the endpoint, it classifies data as it moves and enforces policy at that exact moment, before exposure occurs.

Within weeks, Bold surfaced behaviors no other tool could see, proprietary data pasted into public AI models, files renamed and exfiltrated through channels that bypassed every perimeter control, unauthorized data movement across browsers and external services.

Results

• Stopped AI data exfiltration in real time, catching data moving to public models or throughout the enterprise, unauthorized before it left the device
• Prevented sensitive data from leaving the organization through channels that bypassed every existing control
• Enforced data policy at the moment of risk, without waiting for alerts, investigations, or manual review
• Protected the organization at scale, without additional headcount or a dedicated monitoring function