Verizon: Enterprise Cybersecurity & AI Enablement

Designing UX content architecture and LLM-ready knowledge systems for regulated environments

Overview

Verizon’s enterprise cybersecurity organization required scalable, user-centered communications and learning systems to support compliance adoption, ServiceNow enablement, and emerging AI initiatives. This engagement focused on translating highly technical cybersecurity requirements into governed, accessible UX content experiences.

The work bridged compliance, engineering, UX, and AI teams — delivering structured content systems that accelerated adoption, reduced onboarding friction, and enabled LLM-ready knowledge delivery across platforms.

The Challenge

Enterprise cybersecurity programs often face significant adoption barriers:

• Complex regulatory frameworks difficult to interpret at scale
• Fragmented knowledge spread across tools and inconsistent documentation
• High onboarding demands for technical and non-technical audiences
• Need for AI-enabled support without compromising governance and accuracy
• ServiceNow enablement requiring structured, persona-driven learning journeys

Verizon needed a content and UX strategy that could operate as infrastructure — supporting both compliance clarity and AI-era knowledge delivery.

The Approach

This engagement treated cybersecurity content as a governed UX system spanning:

• Plain-language compliance translation
• Persona-based learning architecture
• Structured content models for AI training and automation
• Knowledge base and chatbot-ready workflows
• Continuous optimization through analytics and user feedback

Key Contributions

Compliance Translation at Enterprise Scale

Directed content strategy translating 12,000+ NIST 800-53 controls into clear, usable guidance for both technical and non-technical audiences.

Scalable Content & Learning Ecosystem

Architected a governed content ecosystem across ServiceNow, SharePoint, and Confluence, aligning metadata, taxonomy, accessibility, and lifecycle standards.

Persona-Driven ServiceNow Enablement

Designed 16 structured learning pathways incorporating UX microcopy, FAQs, job aids, and chatbot-ready flows to accelerate adoption.

LLM and GenAI Training Requirements

Authored 14,000+ structured user stories informing technical and business requirements for proprietary LLM and GenAI training models.

Contextual Knowledge Delivery & Chatbot Support

Developed knowledge-base articles and NLG-based chatbot responses enabling glossary-driven, contextual assistance at scale.

UX + AI Collaboration and Prototyping

Partnered with engineering, UX, and compliance teams to prototype agent-style AI interfaces supporting onboarding and contextual learning.

What Made This Engagement Different

Rather than producing standalone documentation, the work established a governed UX content system designed for:

• Compliance clarity
• Platform adoption
• AI-enabled knowledge delivery
• Sustainable content operations

The result was an enterprise-ready model for cybersecurity enablement in an AI-enabled environment.

Impact

• Improved interpretability of compliance requirements across audiences
• Accelerated ServiceNow adoption through persona-based learning pathways
• Enabled AI-ready knowledge structures for future automation and agent workflows
• Strengthened governance through taxonomy, accessibility, and lifecycle alignment
• Delivered measurable optimization through analytics and user research

Related Work

• From Center of Excellence to Internal Consulting Platform (JPMorgan Chase)
• Global Cloud Transformation Communications (Pfizer)

Interested in UX and AI-ready content systems for regulated enterprise environments?