David Wolf · Portfolio Use Case
Device Cloud research on connected medical-device segmentation, insecure protocols, default credentials, legacy systems, and clinical-network exposure.
Contributed to Forescout connected medical-device research using Device Cloud analytics to examine segmentation failures, insecure protocols, default credentials, unsupported Windows exposure, and TCP/IP vulnerability impact across healthcare delivery environments. Contributed to Forescout's Healthcare Under the Microscope research, using Forescout Device Cloud analytics to help examine healthcare deployments, connected-device diversity, legacy operating-system exposure, segmentation concerns, and the operational reality of securing medical and non-medical devices across clinical networks.
Client
Forescout
Engagement Type
Full-Time research contribution; exact title and dates should be confirmed from resume/Profile source
Period
2020–2021
Role
Security Research / Device Cloud Analytics / Kibana & Elastic Analyst Contributor
Focus Areas
Connected Medical Devices, Healthcare Security, IoMT Security
The Context
Connected medical devices operate inside clinical networks that also contain ordinary IT, IoT, and unmanaged assets. The security problem is not only the device itself; it is the shared network context, protocol behavior, credentials, legacy systems, and segmentation reality around the device.
The Challenge
The research challenge was to explain how medical-device risk appears in real healthcare environments. Segmentation, insecure protocols, default credentials, and unsupported systems are not abstract hygiene issues; they affect the safety, privacy, and availability posture of clinical operations.
What I Did
The Outcome
The report helped show that medical-device security requires enterprise visibility, segmentation, protocol control, credential hygiene, monitoring, and vulnerability management. It reinforces the portfolio theme that real security starts with evidence about what is actually connected.
Public
Forescout report archive lists Putting Healthcare Security Under the Microscope as a May 28, 2019 report
Report
Focused on device diversity, connected medical environments, operating systems, device vendors, legacy operating-system risk, lack of segmentation, and common services left enabled
Key Deliverables
Collaboration
Worked in a Forescout research and device-intelligence context where large-scale Device Cloud analysis needed to become credible connected-medical-device security insight for practitioners, executives, customers, sales teams, and market education. Worked in a Forescout research and device-intelligence context where large-scale Device Cloud analysis needed to become credible healthcare-security insight for practitioners, executives, customers, sales teams, and market education.
Client
Forescout
Engagement Type
Full-Time research contribution; exact title and dates should be confirmed from resume/Profile source
Period
2020–2021
Role
Security Research / Device Cloud Analytics / Kibana & Elastic Analyst Contributor
Focus Areas
Connected Medical Devices, Healthcare Security, IoMT Security
The Context
Connected medical devices operate inside clinical networks that also contain ordinary IT, IoT, and unmanaged assets. The security problem is not only the device itself; it is the shared network context, protocol behavior, credentials, legacy systems, and segmentation reality around the device.
The Challenge
The research challenge was to explain how medical-device risk appears in real healthcare environments. Segmentation, insecure protocols, default credentials, and unsupported systems are not abstract hygiene issues; they affect the safety, privacy, and availability posture of clinical operations.
What I Did
The Outcome
The report helped show that medical-device security requires enterprise visibility, segmentation, protocol control, credential hygiene, monitoring, and vulnerability management. It reinforces the portfolio theme that real security starts with evidence about what is actually connected.
Public
Forescout report archive lists Putting Healthcare Security Under the Microscope as a May 28, 2019 report
Report
Focused on device diversity, connected medical environments, operating systems, device vendors, legacy operating-system risk, lack of segmentation, and common services left enabled
Key Deliverables
Collaboration
Worked in a Forescout research and device-intelligence context where large-scale Device Cloud analysis needed to become credible connected-medical-device security insight for practitioners, executives, customers, sales teams, and market education. Worked in a Forescout research and device-intelligence context where large-scale Device Cloud analysis needed to become credible healthcare-security insight for practitioners, executives, customers, sales teams, and market education.
At a Glance
Focus Areas
Tools & Technologies
Evidence & Artifacts
Public-Safe Caveat
This case study uses public Forescout sources for report-level facts and user-provided context for the author's contribution. Exact authorship, internal queries, Device Cloud schemas, Kibana dashboards, customer details, raw datasets, unpublished drafts, and proprietary analysis details are omitted unless later confirmed and approved for public use. This case study uses public Forescout sources for report-level facts and user-provided context for the author's contribution. Exact authorship, internal queries, Device Cloud schemas, dashboards, customer details, raw datasets, unpublished drafts, and proprietary analysis details are omitted unless later confirmed and approved for public use.
David Wolf
AI Security · Product Security · Security Leadership
Based on analyzed public signals, not proof of any individual's or company's internal state.
