Implementing Zero Trust Security
1. Understanding Zero Trust Principles
| Principle | Detail |
| Never trust | No implicit trust by network location |
| Always verify | Every request authenticated + authorized |
| Least privilege | Just-enough, just-in-time access |
| Assume breach | Limit blast radius |
| Frameworks | NIST SP 800-207, BeyondCorp (Google) |
2. Implementing Continuous Authentication
Re-evaluate identity throughout session — not just at login. See section 50.
3. Using Context-Aware Access
Decisions consider device, location, risk. See section 51.
4. Implementing Device Trust
| Signal | Detail |
| Hardware attestation | TPM, Secure Enclave, StrongBox |
| MDM enrollment | Managed device |
| Compliance | OS patch, encryption, EDR running |
| Certificate | Per-device client cert |
5. Verifying Every Request
| Layer | Check |
| Edge proxy | Authenticate, basic policy |
| Service | Fine-grained authorization |
| Data | Row-level security |
6. Implementing Micro-Segmentation
| Aspect | Detail |
| Network | Per-workload firewall rules |
| Identity-based | Service mesh policies, not IPs |
| Tools | Istio AuthorizationPolicy, Calico, Cilium |
7. Using Least Privilege Access
| Practice | Detail |
| JIT elevation | Time-bound role assumption |
| Scope-narrowed tokens | Per-operation scopes |
| Default deny | Explicit allow only |
8. Implementing Strong Identity Verification
| Method | Detail |
| Phishing-resistant MFA | FIDO2 / Passkeys mandatory |
| Workload identity | SPIFFE/SPIRE for services |
| Identity assurance | NIST 800-63-3 IAL/AAL/FAL levels |
9. Monitoring and Logging All Access
Every decision logged for audit and ML training. See sections 53-54.
10. Implementing Adaptive Authentication
Risk-based decisions per request — same identity may get different access based on context. See section 49.