Zero Trust Architecture: Security for the Post-Perimeter Era
Val Chahul
The Operator
The castle-and-moat security model is dead. In a world of remote work and cloud infrastructure, there is no perimeter to defend.
The castle-and-moat security model is dead. In a world of remote work, cloud infrastructure, and API-first architectures, there is no perimeter to defend. Welcome to Zero Trust.
The Core Principle
Zero Trust can be summarized in one phrase:
Never trust, always verify.
Every request, every user, every device is treated as potentially hostile—even if it comes from inside your network.
The Implementation Layers
Identity: Strong authentication (MFA, passkeys, SSO)
Device: Device health checks and attestation
Network: Micro-segmentation and encrypted tunnels
Application: Per-request authorization and audit logging
Data: Encryption at rest and in transit, row-level access
Practical Implementation: Row-Level Security
In Supabase/PostgreSQL, Zero Trust translates to RLS policies:
-- Users can only see their own data
CREATE POLICY "users_own_data" ON documents
FOR ALL
USING (auth.uid() = user_id);
-- Admins can see everything
CREATE POLICY "admin_full_access" ON documents
FOR ALL
USING (
EXISTS (
SELECT 1 FROM user_roles
WHERE user_id = auth.uid()
AND role = 'admin'
)
);The Authentication Stack
Factor | What You Know | What You Have | What You Are |
|---|---|---|---|
Example | Password | Phone, Security Key | Fingerprint, Face |
Strength | Weak | Strong | Very Strong |
The Takeaway
Security is not a feature—it is an architecture. Build it into every layer, verify at every step, and assume breach. The question is not if you will be attacked, but whether you will notice.
Hardening an application? I can help you implement Zero Trust from database to CDN.
Discussion
Comments coming soon.