ShadowSight shows you where sensitive data is quietly leaking through everyday work.

Case Studies

What changes when data leakage risk is visible

These organisations weren’t looking for another tool.
They needed clarity they could stand behind.

Financial Services

The situation

Highly sensitive data and no tolerance for disruption. Blocking controls were not an option.

What became visible

Risk increased during role changes and offboarding, even though access remained legitimate.

What changed

Risk was identified earlier, oversight improved, and assurance increased without slowing critical work or damaging culture.

Healthcare

The situation

Strong privacy expectations and a fast-moving clinical workforce. Previous controls either disrupted care or failed to surface risk.

What became visible

Patient data was shared outside approved systems as part of everyday coordination — well-intentioned, but risky.

What changed

Risk was reduced without intrusive monitoring. Staff trust was maintained. Patient data exposure declined.

Superannuation & Funds Management

The situation

External security was strong, but internal handling of member data was largely assumed to be safe.

What became visible

Large volumes of sensitive data were accessed and moved externally without triggering existing controls.

What changed

Oversight shifted from access assumptions to behavioural patterns. Audit confidence improved without expanding monitoring scope.

Government & Law Enforcement

The situation

Highly sensitive data and no tolerance for disruption. Blocking controls were not an option.

What became visible

Risk increased during role changes and offboarding, even though access remained legitimate.

What changed

Risk was identified earlier, oversight improved, and assurance increased without slowing critical work or damaging culture.

Global Logistics & Supply Chain

The situation

System outages and organisational change drove staff to copy work to personal email accounts.

What became visible

Data movement spiked during uncertainty, driven by fear rather than malicious intent.

What changed

Leadership addressed root causes, risky workarounds declined quickly, and security culture stabilised during change.

What these organisations had in common

Risk came from normal behaviour in the wrong context
Traditional tools created noise, not clarity
Confidence improved once attention narrowed
Once risk was visible and manageable, behaviour changed naturally.

What this means for you

You don’t need certainty to start. You need a clear view of what’s actually happening.