Skip to content
View p0bailey's full-sized avatar
๐Ÿ˜ƒ
"A smooth sea never made a skilled sailor."
๐Ÿ˜ƒ
"A smooth sea never made a skilled sailor."

Highlights

  • Pro

Block or report p0bailey

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
p0bailey/README.md

About Me

Hey, I'm Phillip Bailey.

Cloud and AI Security Architect with extensive experience across e-commerce, financial services, media, and government sectors.

Projects

ThreatWolf

Threat modelling copilot for CyberSecurity professionals. Uses STRIDE and OWASP to identify vulnerabilities, assess risk, and recommend mitigations across systems, APIs, data, and AI (LLMs, generative, agentic).

  • Covers STRIDE methodology and OWASP (Infrastructure, APIs, Web Apps, LLMs, Agentic AI)
  • Supports prioritisation logic and defensive countermeasures
  • Extensible, aligned with real-world workflows
  • GitHub โ†’ p0bailey/ThreatWolf

AI Governance, Risk & Compliance Framework (Gov)

A structured framework embedding accountability, oversight, risk appetite and compliance for AI systems. Aligns with NIST AI RMF, EU AI Act, and cybersecurity best practices. ๐Ÿ”— GitHub Wiki โ†’ p0bailey/gov/wiki


AWS AI Landing Zone Architecture

A secure, multiโ€‘account landing-zone architecture built using AWS CDK. Designed to support AI workloads and ensure compliance.
๐Ÿ”— GitHub โ†’ p0bailey/aws-ai-landing-zone

๐Ÿ“š Publications

AI AWS Landing Zone: A Secure Architecture Blueprint for the Artificial Intelligence Age

Outlines a secure, scalable AWS landing zone architecture tailored for AI workloads.
๐Ÿ”— Read on LinkedIn


Solving the Secret Zero and Dynamic Secrets Challenge at Scale

Explores scalable approaches to eliminate hardcoded credentials using dynamic secrets and zero trust principles.
๐Ÿ”— Read on Medium

Credentials

๐Ÿ”— Verify my badges on Credly

Pinned Loading

  1. aws-ai-landing-zone aws-ai-landing-zone Public

    AWS AI Landing Zone Reference Architecture

  2. ThreatWolf ThreatWolf Public

    AI Co-Pilot threat analysis for security professionals. Identifies vulnerabilities, assesses risks, and suggests mitigations across digital systems, processes, and infrastructure. Covers STRIDE metโ€ฆ

  3. gov gov Public

    AI Governance, Risk and Compliance Framework

    Makefile