MedShield · Medical-Device Security

Data integrity for medical AI.

Hospitals run on devices that can't be patched, and protocols that trust everything. One forged DICOM image, one altered HL7 order — and the AI reading it never knows.

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The Problem

Protocols that trust everything, feeding AI that trusts them.

DICOM and HL7 were built for a trusted network — they authenticate almost nothing. A forged image or altered order flows straight into the medical AI reading it, and the diagnosis is poisoned at the source.

medshield › modality-gw · radiology HL7 ORM^O01 order altered in transit · dose field tampered downstream AI would accept · no integrity check MedShield DICOM/HL7 integrity violation detected MedShield BLOCKED before device/diagnosis · 247ms ✓
The Solution

Guard the input to every medical AI.

⛨
Native DICOM & HL7
Packet-level inspection of imaging and order streams — integrity, not just transport.
✚
HIPAA out of the box
Aligned to HIPAA §164.312 technical safeguards from day one, on-prem.
⛔
Sub-300ms block
Stops malicious commands before a device, or a diagnosis, is ever touched.
Coverage

The languages of clinical systems

DICOMHL7 v2FHIRPACSHIPAA §164.312FDA 524BIEC 80001
How It Works

Zero clinical disruption, total input integrity

01
Tap
Inline at the modality/HL7 gateway, line-rate.
02
Inspect
Parses DICOM/HL7 payloads for integrity violations.
03
Reason
AI scores tampering and forged-input patterns.
04
Gate
Deterministic safety gate — no false clinical stops.
05
Block
Malicious command dropped, audit retained.
<300ms
Malicious-command block
HIPAA
Out of the box
DICOM·HL7
Native protection
Zero
Clinical disruption

Protect the diagnosis at the source.

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