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Zero Trust Security Architect

Verify every access, trust nothing by default

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What Is Zero Trust Security?

Zero Trust is a security model where no user, device, or network is automatically trusted. Every access request must be verified through identity, device health, and context — even from inside the corporate network. The principle: never trust, always verify.

Why does this matter? Traditional "castle and moat" security fails once an attacker gets inside. Zero Trust assumes breach, verifies every request, and limits blast radius through micro-segmentation. Google's BeyondCorp and NIST SP 800-207 are real-world blueprints.

📖 Deep Dive

Analogy 1

Think of a traditional network like an apartment building — once past the front door, you can walk to any unit. Zero Trust is like an airport: even after entering, you need your boarding pass checked at the gate, ID verified at security, and bag scanned. Every checkpoint independently verifies you belong there.

Analogy 2

Imagine a bank. Traditional security puts a guard at the front door and trusts everyone inside. Zero Trust treats the bank like nested vaults — each room requires a separate key, biometric scan, and authorization code. A teller can access the cash drawer but not the safety deposit boxes. Every door verifies independently.

🎯 Simulator Tips

Beginner

Watch how every access request is verified regardless of network location.

Intermediate

Introduce a compromised credential and observe lateral movement prevention.

Expert

Design micro-segmentation policies that minimize blast radius for different attack scenarios.

📚 Glossary

Zero Trust
Security framework requiring strict identity verification for every person and device, regardless of network location. Core principle: never trust, always verify.
Micro-Segmentation
Dividing a network into isolated segments with individual security policies, limiting lateral movement of attackers.
Least Privilege
Granting users only the minimum permissions needed for their specific tasks.
MFA
Multi-Factor Authentication — requiring two or more verification factors (something you know, have, or are) to prove identity.
mTLS
Mutual TLS — both client and server authenticate each other with certificates, ensuring bidirectional trust.
BeyondCorp
Google's implementation of zero trust that eliminated the traditional corporate VPN, treating all networks as untrusted.
NIST SP 800-207
The US government's 'Zero Trust Architecture' publication (2020), providing reference architecture and deployment models.
ZTNA
Zero Trust Network Access — technology replacing VPNs by providing granular, identity-based access to specific applications.
Continuous Verification
Ongoing validation of user identity, device health, and behavior throughout a session, not just at login.
Lateral Movement
An attacker's technique of moving through a network after initial compromise to reach higher-value targets.
Trust Score
A dynamic value (0-100) representing confidence that an access request is legitimate, based on device health, behavior, and authentication strength.
Policy Engine
The central decision point evaluating access requests against security policies, trust scores, and contextual data.

🏆 Key Figures

John Kindervag (2010)

Coined 'Zero Trust' at Forrester Research, defining the foundational security model

Google BeyondCorp Team (2014)

Implemented zero trust at scale for 100,000+ employees without a VPN

Chase Cunningham (2018)

Developed the Zero Trust eXtended (ZTX) framework at Forrester

NIST (Rose et al.) (2020)

Published SP 800-207 Zero Trust Architecture reference standard

Amit Sinha (2007)

Co-founded Zscaler, pioneering cloud-delivered zero trust architecture

🎓 Learning Resources

💬 Message to Learners

Zero Trust isn't just a technology — it's a fundamental shift in how we think about security. The old 'trust but verify' model assumed anyone inside the castle walls was safe. Breaches like SolarWinds proved perimeter security alone fails. Zero Trust flips the model: assume breach, verify explicitly, enforce least privilege. As you explore this simulator, notice how every request passes through multiple verification layers and how micro-segmentation contains damage when an attacker gets through.

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