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Trust Graph Intelligence: Securing Machine Identities at Scale

Machine identities outnumber humans 82:1 in modern cloud environments. Every IAM role, every OIDC federation from your CI/CD pipeline, every service account — they accumulate silently. No one monitors them. No one audits them. Each one is a potential entry point for attackers. This book shows you how to build the platform that makes them visible.

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About

About

About the Book

Build a complete machine identity security platform from scratch — a system that discovers, maps, risk-scores, and remediates every IAM role, OIDC federation, and CI/CD token across your AWS accounts. This hands-on guide walks you through constructing a full-stack security product: FastAPI backend, React frontend, NetworkX graph engine, six-factor risk scoring, blast path simulation, trust debt measurement, compliance automation, and AI-powered remediation — all deployed with Terraform on AWS. Point it at your cloud. See every machine identity. Understand the trust chains. Know what happens if one is compromised. No security certification required. Just Python, React, and curiosity about how cloud trust actually works.

Author

About the Author

Joseph Thachil George

Joseph Thachil George is a Technical Consultant for International Game Technology (IGT), Rome, Italy. Additionally, He has completed M. S in Cyber Security from the Università degli Studi di Firenze, Italy. In addition, he is also part of the research group (DISIA) of the University of Florence, Italy, and the research group (INESC-ID Lisbon) of the University of Lisbon, Portugal. His research interests cover Dynamic Malware Analysis, Blockchain technology- Hyperledger fabric, and cyber security. He published five books Cybercrime and Social Media Relationships, Designing Distributed Systems , Social Network Analysis ,Test Driven Development for Java Developers and ,Network Security Management respectively. In IGT he is been a part of various project related to game configuration and integration in various platform. Specialized in Java and spring boot-based projects. He has also worked in various companies in India, Angola, Portugal, and UK. In total he has seven years of experience in various IT companies.

Contents

Table of Contents

  • About This Book
  • Part I: The Problem Space
    • Chapter 1: The Machine Identity Crisis
    • Chapter 2: How Trust Works in AWS
    • Chapter 3: Architecture and Design Decisions
  • Part II: Building the Backend
    • Chapter 4: Project Setup and FastAPI Foundation
    • Chapter 5: Database Models
    • Chapter 6: AWS Identity Collector
    • Chapter 7: GitLab Collector and Trust Parsing
    • Chapter 8: Resource Mapping and Graph Engine
  • Part III: The Security Engines
    • Chapter 9: Risk Scoring Engine
    • Chapter 10: Findings Engine
    • Chapter 11: Compliance Engine
    • Chapter 12: Trust Debt Engine
    • Chapter 13: Blast Path Simulation
  • Part IV: AI and Reporting
    • Chapter 14: AI-Powered Remediation
    • Chapter 15: Report Engine and Export
    • Chapter 16: API Routes
  • Part V: The Frontend
    • Chapter 17: React Application and Components
  • Part VI: Deployment
    • Chapter 18: Docker and Infrastructure

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