30–50%
SOC spend reduction
every log routed to where its job gets done
Fleak normalizes EHR audit logs, medical device telemetry, and security logs in real time, masks PHI before it reaches any destination, and keeps clinical systems observable. HIPAA retention lands in your own storage.
30–50%
SOC spend reduction
every log routed to where its job gets done
6mo → 1wk
Time to onboard a source
including clinical systems nobody has parsed before
0
AI inference on patient data
the Brain sees samples, never live records
Clinical applications, devices, and identity systems all log differently, and many of them log more patient detail than anyone intended.
Names, medical record numbers, and dates of birth turn up in application and error logs, then get copied into every downstream tool.
Connected medical devices go silent or noisy and nobody notices until a clinical workflow breaks.
EHR, imaging, lab, and identity systems each log in their own shape, so privacy monitoring means correlating them by hand.
Fleak normalizes every source, masks PHI upstream, and routes each record to the team that needs it, inside your environment.
Names, medical record numbers, SSNs, and dates of birth are masked or hashed before any destination receives the record, including at the edge.
EHR audit trails are normalized into one schema, so privacy and insider-threat rules work across every application.
Collect device telemetry, flag devices that go silent or noisy, and enrich each one with its owner, location, and known vulnerabilities.
Normalize clinical formats such as FHIR, HL7, and DICOM metadata alongside security logs in OCSF.
Monitor the pipelines behind patient portals and telehealth, and get alerted before a gap reaches a clinician.
Keep audit records for six years in your own object storage, and replay any slice when an investigation needs it.
Detections go to the SIEM, access events to privacy monitoring, de-identified data to research, and full fidelity to the archive.
Run Fleak in your cloud, on-prem, or air-gapped. Patient records are processed by a deterministic engine and never sent to an AI model.
De-identified, normalized data gives AI agents and analytics a consistent, safe foundation.
Every system downstream gets the context it needs and none of the identifiers it shouldn't have.
The Brain maps each clinical and security source to one schema. The Muscle masks, normalizes, and routes every record deterministically, so PHI never reaches a destination that shouldn't hold it.
Built for
A user opens a VIP patient's chart at 2 a.m.
Where does that event go?
Privacy monitoring
Real timeThe EHR access event, normalized, reaches the privacy team's rules within seconds.
Security lake
InvestigateFull access history lands in the lake for the investigation that follows.
Compliance archive
RetainAudit records are kept for the full retention period at object-storage prices.
PHI masked once, upstream. Every system downstream gets the context it needs and none of the identifiers it shouldn't have.
"Protect the patient record before it multiplies. Mask in flight, route by purpose, and keep the audit trail."
Healthcare · Fleak Platform
30-minute working session. We'll mask and normalize it live.
Detectors, custom patterns, hashing, and quarantine.
See Detail →Identity, asset, threat intel, and geo context in flight.
See Detail →Databricks, Snowflake, BigQuery, ClickHouse, and S3.
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