Workflow Automation Security
Mapping the Attack Surface of a Health Network's Automation Estate
First full attack-surface map of a health network's sprawling low-code automation estate.
Client profile
A regional health network running hundreds of low-code automations and LLM-powered pipelines across clinical and corporate functions.
The challenge
Automation had grown organically across teams with little central visibility. The network needed to know what existed, where sensitive data flowed, and which automations were exposed before a regulatory review.
What we did
- Inventoried automation flows across the low-code and integration platforms.
- Reviewed webhooks, API chains, and the secrets they relied on.
- Tested automations where an LLM made or influenced a decision.
- Designed an automation governance framework for ongoing control.
What we found
- Numerous shadow automations moved sensitive data without oversight.
- Several webhooks were reachable without adequate authentication.
- LLM decision steps lacked validation on their inputs and outputs.
The outcome
The network gained its first complete map of the automation estate, remediated the highest-risk exposures, and stood up a governance framework so automation can scale securely. The estate is now reviewable ahead of regulatory assessments.
We didn't know how exposed our automation estate was until they mapped it. Clear evidence, clear priorities.
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