Healthcare breaches cost more than any other sector — and clinicians are already using AI at the point of care.
Healthcare carries the highest average breach cost of any industry, driven by the sensitivity of the data and the length of time incidents typically go undetected. HIPAA and GDPR-equivalent regimes set a high bar for safeguards, while research shows clinicians already turning to AI tools for note-taking and decision support faster than IT can approve them.
Five questions healthcare & life sciences teams rarely have a clean answer to
If any of these make you pause, that pause is the gap Praeferre exists to close.
“If a clinician pasted a patient's diagnosis into a public AI tool to draft a letter, would your systems catch it?”
See how — AI Data Leak Protection“Could you evidence, in minutes, that every sub-processor touching patient data meets your security bar?”
See how — Third-Party Risk Management“How long would it take your team to detect a breach — industry average is measured in months, not days?”
See how — GRC Automation“Has your patient portal been tested by someone actively trying to break it, this year?”
See how — Penetration Testing“Who in your organisation is accountable for every DPIA your AI diagnostic tools should have triggered?”
See how — DPO as a ServiceQuestions we get asked
The ones this page is built around are HIPAA, GDPR and ISO/IEC 27001. Praeferre monitors all of them from a single engine, alongside anything else on the frameworks list and your own internal policies, so you are not running a separate programme per regulation.
Usually not in intent but in evidence. The questions above are the ones that tend to cause a pause — for example: “If a clinician pasted a patient's diagnosis into a public AI tool to draft a letter, would your systems catch it?” Closing that kind of gap, and being able to show it is closed, is what the platform is for.
Most often AI Data Leak Protection, Third-Party Risk Management, GRC Automation, Penetration Testing and DPO as a Service — the modules the questions above map to. They share one data model and one dashboard, so evidence gathered for one framework counts towards the others.
Yes. Custom and internal frameworks are modelled in the same engine as the statutory ones, so an internal standard, a contractual commitment to a customer or a sector code of practice is monitored and evidenced the same way.
See what Praeferre would surface in your environment
A short discovery call is enough to map which of these questions are already answered — and which aren't.