David Wolf · Portfolio Use Case
Device Cloud research on financial-services device risk, flat networks, IoT/OT proximity, POS exposure, Windows lifecycle risk, and segmentation gaps.
Contributed to Forescout's Banking on Security financial-services research, using Device Cloud analytics and Elastic/Kibana-style workflows to help examine financial-services networks, device visibility, POS adjacency, IoT and OT exposure, flat network risk, Windows lifecycle risk, and segmentation maturity.
Client
Forescout
Engagement Type
Full-Time research contribution; exact title and dates should be confirmed from resume/Profile source
Period
2020
Role
Security Research / Device Cloud Analytics / Kibana & Elastic Analyst Contributor
Focus Areas
Financial Services Security, Forescout Device Cloud, Elastic/Kibana Analysis
The Context
Financial-services organizations depend on trust, uptime, and data protection, but their networks include far more than core banking systems. POS systems, printers, IoT devices, OT equipment, cameras, UPS appliances, PLCs, and managed Windows fleets all affect the real attack surface.
The Challenge
The research challenge was showing how flat networks and device proximity create practical lateral-movement risk. POS systems neighbored by printers, IoT devices, or OT systems are not just inventory trivia; they change the path an attacker may take through a financial-services environment.
What I Did
The Outcome
The report helped make financial-services device risk more concrete. It showed why visibility, segmentation, compliance, and policy enforcement are essential to reducing malware movement and protecting critical banking infrastructure.
Key Deliverables
Collaboration
Worked in a Forescout research and device-intelligence context where large-scale Device Cloud analysis needed to become credible financial-services security insight for practitioners, executives, customers, sales teams, analysts, and market education.
Client
Forescout
Engagement Type
Full-Time research contribution; exact title and dates should be confirmed from resume/Profile source
Period
2020
Role
Security Research / Device Cloud Analytics / Kibana & Elastic Analyst Contributor
Focus Areas
Financial Services Security, Forescout Device Cloud, Elastic/Kibana Analysis
The Context
Financial-services organizations depend on trust, uptime, and data protection, but their networks include far more than core banking systems. POS systems, printers, IoT devices, OT equipment, cameras, UPS appliances, PLCs, and managed Windows fleets all affect the real attack surface.
The Challenge
The research challenge was showing how flat networks and device proximity create practical lateral-movement risk. POS systems neighbored by printers, IoT devices, or OT systems are not just inventory trivia; they change the path an attacker may take through a financial-services environment.
What I Did
The Outcome
The report helped make financial-services device risk more concrete. It showed why visibility, segmentation, compliance, and policy enforcement are essential to reducing malware movement and protecting critical banking infrastructure.
Key Deliverables
Collaboration
Worked in a Forescout research and device-intelligence context where large-scale Device Cloud analysis needed to become credible financial-services security insight for practitioners, executives, customers, sales teams, analysts, 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 Device Cloud and Elastic/Kibana contribution. Exact authorship, internal queries, dashboards, customer details, raw datasets, proprietary scoring logic, unpublished drafts, and non-public 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.
