Back to Glossary

Zero Trust

الثقة الصفرية

AdvancedSecurity1 min read
zero-trustzero-trust-securityzero-trust-architecturezta
Sign in to save & take notes

Definition

A security model that assumes no user, device, or network is inherently trusted — every request must be verified, authenticated, and authorized regardless of where it originates.

نموذج أمني يفترض أنه لا يُمكن الوثوق بأي مستخدم أو جهاز أو شبكة بطبيعتها — يجب التحقق من كل طلب ومصادقته وتفويضه بغض النظر عن مصدره.

Why It Matters

Firestore Security Rules implement Zero Trust at the database layer: every read/write is verified against auth state regardless of which service calls it — `allow read: if request.auth != null && request.auth.uid == resource.data.userId`.

تُطبّق قواعد أمان Firestore الثقة الصفرية على طبقة قاعدة البيانات: كل قراءة/كتابة تُتحقَّق منها مقابل حالة المصادقة، بغض النظر عن الخدمة التي تستدعيها.

Full Definition

Zero Trust replaces the 'castle and moat' model — where everything inside the network is trusted — with 'never trust, always verify.' Every access request, even from inside the corporate network, must be authenticated, authorized, and continuously validated. Core pillars: verify explicitly (authenticate/authorize based on all available data), use least privilege access (just-in-time, just-enough access), and assume breach (minimize blast radius, segment access, encrypt everything). Especially relevant in cloud-native and remote-work environments.
تحل الثقة الصفرية محل نموذج 'القلعة والخندق' بمبدأ 'لا تثق أبداً، تحقق دائماً.' يجب مصادقة كل طلب وصول وتفويضه والتحقق منه باستمرار حتى من داخل الشبكة. الركائز: التحقق الصريح والوصول الأقل امتيازاً والافتراض بالاختراق.

Example Usage

“Firestore Security Rules implement Zero Trust at the database layer: every read/write is verified against auth state regardless of which service calls it — `allow read: if request.auth != null && request.auth.uid == resource.data.userId`.”

“تُطبّق قواعد أمان Firestore الثقة الصفرية على طبقة قاعدة البيانات: كل قراءة/كتابة تُتحقَّق منها مقابل حالة المصادقة، بغض النظر عن الخدمة التي تستدعيها.”

Knowledge Graph

AI Builder Tips

Sign in for more features

Avoid these mistakes when using Zero Trust:

1

Treating Zero Trust as a product you buy → There is no single 'Zero Trust appliance'. It is an architecture you design — a shift in philosophy across all layers.

2

Applying Zero Trust only at the network perimeter → It must apply at every layer: network, identity, device, application, and data.

3

Neglecting service-to-service authentication → Microservices must verify each other, not just verify users. Use Workload Identity Federation or mutual TLS.

Sign in to unlock guided AI explanations from AI Teacher.

Generate a Prompt

Copy this prompt and use it directly with any AI model — no setup needed.

Ready-to-Use Prompt
Help me build a project using Zero Trust.

Explain:
1. What is Zero Trust and why it matters
2. The core architecture and required tools
3. Step-by-step implementation plan
4. Common mistakes to avoid: Treating Zero Trust as a product you buy → There is no single 'Zero Trust appliance'. It is an architecture you design — a shift in philosophy across all layers., Applying Zero Trust only at the network perimeter → It must apply at every layer: network, identity, device, application, and data., Neglecting service-to-service authentication → Microservices must verify each other, not just verify users. Use Workload Identity Federation or mutual TLS.
5. Best practices and production tips

Official Resources

No official documentation link on file for Zero Trust yet.

Browse all AI termsCreate free account