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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
VA MDPP DiD
Layers Covered
NIST SP 800-53 Rev. 5 MDS2 Risk Assessments VA MDPP 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 VA MDPP 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 VA MDPP 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, VA MDPP Defense-in-Depth assessment, CISO risk acceptance documentation, and ATO support packages.

HIPAA FDA 2023 Guidance VA 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

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.

VA 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
VA 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
VA 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, VA 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 VA MDPP and 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 — VAMC 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
engage@masanari.io
Headquarters
Serving Federal and Private HDOs Nationwide
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