Medical Device & IoT Cybersecurity

Precision Defense
for Clinical Networks.

Masanari delivers MDS2-grounded risk intelligence, defense-in-depth architecture, and regulatory compliance for Healthcare Delivery Organizations protecting connected medical devices and IoT infrastructure.

500+
Medical Devices
Assessed
100%
MDS2-Derived
Methodology
7
MDPP DiD
Layers Covered
NIST SP 800-53 Rev. 5 MDS2 Risk Assessments Medical Device Defense-in-Depth HIPAA Security Rule FDA Cybersecurity Guidance Medical Device Isolation Architecture IEC 62443 IoT Security Zero Trust Architecture Network Segmentation — VLAN/MDIA FedRAMP-Authorized Solutions NIST SP 800-53 Rev. 5 MDS2 Risk Assessments Medical Device Defense-in-Depth HIPAA Security Rule FDA Cybersecurity Guidance Medical Device Isolation Architecture IEC 62443 IoT Security Zero Trust Architecture Network Segmentation — VLAN/MDIA FedRAMP-Authorized Solutions

What We Deliver

Specialized cybersecurity capabilities engineered for the unique threat landscape facing connected medical devices and IoT infrastructure in clinical environments.

01 / 06

MDS2 Risk
Assessment

Comprehensive inherent risk analysis derived exclusively from Manufacturer Disclosure Statements (MDS2), applying the hermeneutic circle methodology across six weighted security categories.

ANSI/NEMA HN 1-2019 NIST 800-53r5 6-Category Scoring
02 / 06

Medical Device
Security Program

End-to-end medical device security program development — from device inventory and risk classification to compensating controls implementation and ongoing vulnerability management.

Device Inventory Risk Classification CISA KEV Tracking
03 / 06

Network
Segmentation

VLAN architecture, NGFW configuration, and Medical Device Isolation Architecture (MDIA) implementation aligned with Medical Device Protection Program and HIC-MaLTS guidance for legacy device network isolation.

VLAN Design MDIA/MDLITE Zero Trust
04 / 06

Regulatory
Compliance

HIPAA Security Rule compliance mapping, FDA cybersecurity guidance alignment, MDPP Defense-in-Depth assessment, CISO risk acceptance documentation, and ATO support packages.

HIPAA FDA 2023 Guidance MDPP ATO Support
05 / 06

IoT Security
Architecture

Security architecture and policy development for connected IoT ecosystems — infusion pumps, imaging systems, monitors, building automation, and operational technology within HDO environments.

OT/IoT IEC 62443 SBOM Analysis
06 / 06

Executive
Risk Intelligence

CISO-ready deliverable suites including risk acceptance memos, executive briefings, mitigation roadmaps, and board-level risk dashboards that translate technical findings into leadership decisions.

CISO Briefings Risk Memos Board Reporting
正

The Hermeneutic
Intelligence Cycle

Our interpretive framework applies Heidegger's hermeneutic circle to medical device security analysis — reading the whole to understand each part, and each part to refine understanding of the whole. Every assessment is self-consistent and reproducible.

01
Whole → Part
Deployment Context

We begin with MDS2 Section 2.1 — the device description — to establish whether the device is SaMD or hardware-dependent, how it connects to the network, what ePHI categories it handles, and who hosts it. This context governs every subsequent scoring decision.

02
Part → Whole
Section-Level Scoring

Each MDS2 security section is scored in light of the established deployment context. N/A responses are evaluated contextually — hardware N/As carry no penalty, but security-capability N/As require justification against the risk posture.

03
Iterative
Compounding Risk Identification

As scoring progresses, compounding and mitigating relationships between control gaps are identified. A single gap rarely tells the full story — it is the intersection of multiple gaps that creates critical risk clusters demanding immediate remediation.

04
Closure
Coherent Risk Narrative

Deliverables tell a coherent story — from individual MDS2 question responses to holistic risk posture, with every finding cited to a specific Question ID. Reproducible to ±0.2 scoring variance by any qualified reviewer.

RISK SCORE WHOLE CONTEXT Deployment Context SECTION SCORING COMPOUND ANALYSIS CLOSURE NARRATIVE Phase 1 Phase 2 Phase 3 Phase 4
Scoring Reproducibility
±0.2 variance tolerance
Any qualified reviewer applying the same methodology to the same MDS2 document reaches the same score within ±0.2 — full evidentiary auditability.

Why Masanari

We exist at the precise intersection of clinical operations knowledge, regulatory depth, and offensive security methodology — a combination that generalist firms cannot replicate.

MDS2-First Methodology

Every risk score is derived exclusively from the MDS2 document — no assumptions, no external data. Evidentiary basis is fully auditable and citation-traceable to individual Question IDs.

Clinical Context Expertise

Our analysts understand the operational constraints of clinical environments. Recommendations never compromise patient care workflows — security and availability are co-designed, not traded off.

Dual-Audience Deliverables

Every engagement produces both executive-level briefings for CISO and leadership decision-making and technical artifacts for engineering teams — from risk acceptance memos to NIST control mappings.

MDPP Alignment

Deep familiarity with VA Medical Device Protection Program, Defense-in-Depth architecture, and MDIA isolation requirements. Purpose-built for federal healthcare network environments.

NIST
800-53
Rev. 5
Control Framework
6
Security Categories
Scored & Weighted
7
MDPP DiD
Layers Mapped
6+
PDF Deliverables
Per Assessment
Framework Coverage
NIST SP 800-53 Rev. 5 Primary
HIPAA Security Rule Primary
FDA Cybersecurity Guidance 2023 Mapped
IEC 62443 (OT/IoT) Mapped
MDPP / MDIA / HIC-MaLTS Primary

Solutions in Depth

MDS2 Cybersecurity
Risk Assessment

Our flagship offering delivers a complete inherent risk assessment derived exclusively from the manufacturer's MDS2 disclosure. Six weighted security categories produce a reproducible 0–5.0 risk score, with every finding traceable to a specific MDS2 Question ID.

  • → Six-category weighted scoring (Data Handling 25%, Authentication 20%, Encryption 20%, Malware Protection 15%, System Hardening 10%, Audit Controls 10%)
  • → Hermeneutic circle methodology with Phase 1–4 narrative closure
  • → Six PDF deliverables: Risk Assessment, Executive Brief, Mitigation Roadmap, Control Mapping, CISO Memo, MDPP DiD Addendum
  • → NIST SP 800-53 Rev. 5 control family gap analysis (COVERED / PARTIAL / GAP)
  • → Compounding risk cluster identification and prioritized remediation timeline
  • → FedRAMP-authorized product recommendations per identified gap
Sample Risk Score Matrix
CATEGORY
SCORE
LEVEL
Data Handling
3.7 / 5.0
Authentication
0.7 / 5.0
Encryption
2.5 / 5.0
Malware Prot.
2.9 / 5.0
Sys. Hardening
2.8 / 5.0
Audit Controls
2.1 / 5.0
TOTAL RISK
2.49 MOD.
Example: GE Healthcare Centricity Cardio Workflow V7 SP8

Medical Device Network
Architecture

Purpose-built network segmentation and isolation architecture for HDOs — from VLAN design and NGFW policy to full MDIA boundary implementation aligned with Medical Device Protection Program and HSCC HIC-MaLTS guidance.

  • → VLAN design and ACL configuration for medical device isolation
  • → NGFW policy development for legacy device traffic control
  • → Medical Device Isolation Architecture (MDIA / MDLITE) boundary implementation
  • → Zero Trust micro-segmentation for IoT/OT environments
  • → Network monitoring and IDS/IPS placement for clinical subnets
  • → TIC 2.2 / TIC 3.0 alignment for federal healthcare networks
MDIA Architecture Layers
L1 — TIC 2.2 Perimeter IPS · WAF · Proxy · DNS
L2 — Facility Network Router · Switch · Firewall
L3 — MDIA Boundary ⚠ FIPS Encrypt · ACL · FW
L4 — Host Protections AV · HIPS · EDR
L5 — Authentication ✓ AD · RBAC · MFA
L6 — Data Protection ⚠ At-Rest · TDE · DLP
L7 — SIEM / Audit Splunk · AU-2 · IR-4

Regulatory Compliance
& ATO Support

End-to-end compliance program support from initial gap analysis to ATO documentation packages — covering HIPAA, FDA, NIST, and VA-specific requirements for medical device deployments.

  • → HIPAA Security Rule §164.312 technical safeguard mapping
  • → FDA 2023 Cybersecurity Guidance pre-market and post-market alignment
  • → CISO Risk Acceptance Memoranda with conditions of authorization
  • → Security Impact Assessment (SIA) support for change management
  • → NIST SP 800-53 Rev. 5 System Security Plan (SSP) development
  • → SBOM analysis and third-party component lifecycle management
Security Rule
Technical Safeguards
SP 800-53 Rev. 5
Control Framework
2023 Cybersecurity
Guidance
Defense-in-Depth
Architecture
OT/IoT Industrial
Security Standard
Cloud Service
Authorization

IoT & Operational
Technology Security

Specialized security programs for connected healthcare IoT ecosystems — from bedside monitors and infusion pumps to HVAC and building automation systems that share the clinical network fabric.

  • → IoT asset discovery and risk classification across clinical environments
  • → SBOM (Software Bill of Materials) analysis and vulnerability correlation with CISA KEV catalog
  • → Legacy OT device compensating control architecture
  • → Passive network monitoring deployment (Claroty, Medigate, Ordr)
  • → EOL device lifecycle management and decommission planning
  • → Vendor security SLA negotiation and disclosure requirements
Device Risk Classification
Device ClassePHINetwork
Cardiac Workstations ■ Yes ■ Yes
Infusion Pumps ◒ PII ■ Yes
Imaging Systems (CT/MRI) ■ Yes ■ Yes
Bedside Monitors ◒ PII ◒ WiFi
Building Automation ○ No ◒ OT Net

Begin Your
Risk Assessment

Every engagement begins with a scoping conversation to understand your device portfolio, regulatory environment, and organizational risk appetite. We deliver a tailored proposal within 48 hours.

Secure Contact
kennyon.sadler@masanariglobal.com
Headquarters
Serving Federal and Private HDOs Nationwide