David Wolf · Project Use Case
AI SECURITY · PRODUCT SECURITY · SAPIENT SEARCH GROUP
Sapient Search Group
NIST NICE Cyber Workforce Research Program
A cyber-workforce research program featured at RSA Conference, bSides NYC, and Infosecurity Europe, translated into a talent-intelligence and ATS...
Developed a NIST NICE Cyber Workforce research program focused on role language, workforce taxonomy, and cyber-workforce signal extraction, then translated the findings into a talent-intelligence and ATS workflow layer for...
Client
Sapient Search Group
Engagement Type
Research-led consulting platform buildout
Period
2024–2026
Role
Cyber Workforce Research Architect / ATS Integration Engineer / Browser Automation Engineer
Focus Areas
Cyber Workforce Research, NIST NICE, AI Recruiting Platform, ATS Adapters
The Research Narrative
Strategic Problem
The challenge was to build a workforce-intelligence operating platform rather than a scraper. Each ATS has different job, candidate, company, and application shapes. Workforce taxonomy data requires careful...
What David Did
Designed and deployed a workforce-intelligence platform centered on NIST NICE role taxonomy, structured talent intelligence, and ATS interoperability.
What Became Clearer
Created a full NIST NICE cyber-workforce research and platform architecture for Sapient Search Group rather than a thin automation script.
Consulting Proof
This is evidence of turning messy security telemetry into explainable dashboards, alert-quality improvements, and executive-ready operating views.
The Context
This project is the canonical bucket for the user's NIST NICE Cyber Workforce research, recruiting, HR, job-search, ATS, Chrome extension, WebLLM, WASM, and communication-classification work. It includes role-taxonomy mapping, ATS adapters/interfaces, LinkedIn person/company/job harvesting, staffing-agency sales workflows, candidate cross-channel messaging, MLflow-trained classifiers, Chrome extension injection/automation, embedded browser-local models, and WebLLM-based local intelligence.
The Challenge
The challenge was to build a workforce-intelligence operating platform rather than a scraper. Each ATS has different job, candidate, company, and application shapes. Workforce taxonomy data requires careful extraction and normalization. Communication workflows involve both client-side sales and candidate-side messaging. The system needed to classify messages, enrich records, support automation, and provide useful AI assistance without assuming a single clean source of truth.
What I Did
- •Designed and deployed a workforce-intelligence platform centered on NIST NICE role taxonomy, structured talent intelligence, and ATS interoperability
- •Integrated Google Cloud Talent Solutions as part of the talent/job matching, role-mapping, and search architecture
- •Built interfaces or adapters for ATS systems including Greenhouse, Ashby, Workable, Lever, Workday, and Comeet
- •Created Chrome extension workflows for harvesting, extracting, injecting, and automating recruiting data across browser surfaces
- •Built LinkedIn extraction workflows for person profiles, company profiles, and job posts
- •Used WASM modules inside the Chrome extension to support local scoring, extraction, or structured processing
- •Embedded WebLLM and smaller browser-local machine-learning models to support private, local, context-aware assistance
- •Trained or used MLflow-managed classifiers for business communication categories across staffing sales and candidate communication workflows
The Outcome
Created a full NIST NICE cyber-workforce research and platform architecture for Sapient Search Group rather than a thin automation script.
Research Outcomes
Signal Quality
Improved the trustworthiness of operational security signals
Operational Clarity
Translated complex security data into clearer operating views
Stakeholder Visibility
Made technical risk and status easier to explain
Operational Impact
Turned raw telemetry into actionable security intelligence
Capabilities Demonstrated
Telemetry Normalization
Consistent and trusted data
Security Analytics
Signal investigation and event analysis
IAM / Access Control
Identity telemetry and access insights
SIEM Alert Debugging
Noise reduction and signal validation
Dashboard Development
Operational and executive views
Executive Reporting
Security data translated for leadership
Operational Reporting
Actionable views for security operations
Public-Safe Evidence
Shareable insights without sensitive data
Key Deliverables
- •NIST NICE cyber-workforce research architecture
- •AI recruiting platform architecture
- •Google Cloud Talent Solutions integration
- •Greenhouse, Ashby, Workable, Lever, Workday, and Comeet ATS adapters
- •Chrome extension harvesting and injection workflows
- •LinkedIn person, company, and job extraction
- •Embedded WebLLM browser-local intelligence
- •WASM extension modules
Tools & Technologies
Consulting Translation
The reusable pattern is not Disney-specific: normalize fragmented security telemetry, debug low-signal alert behavior, build trusted operating views, and give leadership evidence they can act on without exposing sensitive systems.