implementing-zero-trust-in-cloud
This skill guides organizations through implementing zero trust architecture in cloud environments following NIST SP 800-207 and Google BeyondCorp principles. It covers identity-centric access controls, micro-segmentation, continuous verification, device trust assessment, and deploying Identity-Aware Proxy to eliminate implicit network trust in AWS, Azure, and GCP environments.
What this skill does
# Implementing Zero Trust in Cloud
## When to Use
- When migrating from traditional perimeter-based security to identity-centric access controls
- When eliminating VPN dependencies for remote workforce access to cloud applications
- When implementing continuous verification for every access request regardless of network location
- When designing micro-segmentation strategies for multi-cloud workloads
- When regulatory requirements mandate zero trust architecture adoption (federal mandates, NIST guidelines)
**Do not use** for simple VPN replacement without broader architectural changes, for network firewall rule management alone (see implementing-cloud-network-segmentation), or for identity provider initial setup (see managing-cloud-identity-with-okta).
## Prerequisites
- Identity provider capable of OIDC/SAML integration (Okta, Azure AD, Google Workspace)
- Device management solution for endpoint trust assessment (Intune, Jamf, Google Endpoint Verification)
- Cloud workloads accessible via HTTPS with load balancer or reverse proxy infrastructure
- SIEM platform for continuous monitoring of access decisions and anomaly detection
## Workflow
### Step 1: Define Zero Trust Principles and Architecture
Establish the core principles following NIST SP 800-207: never trust, always verify. Every access request must be authenticated, authorized, and encrypted regardless of origin.
```
Zero Trust Architecture Components:
+-------------------------------------------------------------------+
| Policy Decision Point |
| +-------------------+ +------------------+ +-----------------+ |
| | Identity Provider | | Device Trust | | Risk Engine | |
| | (Okta/Azure AD) | | (Intune/Jamf) | | (Continuous) | |
| +-------------------+ +------------------+ +-----------------+ |
+-------------------------------------------------------------------+
|
+--------------------+
| Policy Enforcement |
| Point (IAP/Proxy) |
+--------------------+
|
+-------------------+-------------------+
| | |
+----------+ +----------+ +----------+
| App A | | App B | | App C |
| (AWS) | | (Azure) | | (GCP) |
+----------+ +----------+ +----------+
```
### Step 2: Deploy Identity-Aware Proxy
Configure Identity-Aware Proxy (IAP) to enforce identity and context-based access decisions before requests reach applications. Eliminate direct network access to application backends.
```bash
# GCP: Enable Identity-Aware Proxy for a backend service
gcloud services enable iap.googleapis.com
# Configure IAP for an App Engine application
gcloud iap web enable --resource-type=app-engine
# Set IAP access policy requiring specific user group
gcloud iap web add-iam-policy-binding \
--resource-type=app-engine \
--member="group:[email protected]" \
--role="roles/iap.httpsResourceAccessor"
# Create Access Level requiring corporate device and MFA
gcloud access-context-manager levels create corporate-device \
--title="Corporate Device with MFA" \
--basic-level-spec='{
"conditions": [
{
"devicePolicy": {
"requireScreenlock": true,
"allowedEncryptionStatuses": ["ENCRYPTED"],
"osConstraints": [
{"osType": "DESKTOP_CHROME_OS", "minimumVersion": "100.0"},
{"osType": "DESKTOP_MAC", "minimumVersion": "12.0"},
{"osType": "DESKTOP_WINDOWS", "minimumVersion": "10.0.19041"}
]
},
"requiredAccessLevels": ["accessPolicies/POLICY_ID/accessLevels/require-mfa"]
}
]
}'
```
```bash
# AWS: Configure AWS Verified Access for zero trust application access
aws ec2 create-verified-access-instance \
--description "Zero Trust Access Instance"
aws ec2 create-verified-access-trust-provider \
--trust-provider-type user \
--user-trust-provider-type oidc \
--oidc-options '{
"Issuer": "https://company.okta.com/oauth2/default",
"AuthorizationEndpoint": "https://company.okta.com/oauth2/default/v1/authorize",
"TokenEndpoint": "https://company.okta.com/oauth2/default/v1/token",
"UserInfoEndpoint": "https://company.okta.com/oauth2/default/v1/userinfo",
"ClientId": "verified-access-client-id",
"ClientSecret": "verified-access-client-secret",
"Scope": "openid profile groups"
}'
```
### Step 3: Implement Continuous Verification
Configure real-time risk assessment that evaluates every access request based on identity, device posture, location, behavior patterns, and threat intelligence signals.
```yaml
# Azure Conditional Access Policy (JSON representation)
{
"displayName": "Zero Trust - Require MFA and Compliant Device",
"state": "enabled",
"conditions": {
"users": {"includeUsers": ["All"]},
"applications": {"includeApplications": ["All"]},
"locations": {
"includeLocations": ["All"],
"excludeLocations": ["AllTrusted"]
},
"signInRiskLevels": ["medium", "high"],
"deviceStates": {
"includeStates": ["All"],
"excludeStates": ["Compliant", "DomainJoined"]
}
},
"grantControls": {
"operator": "AND",
"builtInControls": [
"mfa",
"compliantDevice"
]
},
"sessionControls": {
"signInFrequency": {"value": 4, "type": "hours"},
"persistentBrowser": {"mode": "never"}
}
}
```
### Step 4: Enforce Micro-Segmentation
Apply network-level zero trust by segmenting cloud workloads into isolated zones with explicit allow rules for each communication path.
```bash
# AWS: Create isolated VPC with no default routes
aws ec2 create-vpc --cidr-block 10.100.0.0/16 --no-amazon-provided-ipv6-cidr-block
# Create security groups implementing micro-segmentation
aws ec2 create-security-group \
--group-name web-tier-sg \
--description "Web tier - accepts traffic from ALB only" \
--vpc-id vpc-abc123
aws ec2 authorize-security-group-ingress \
--group-id sg-web123 \
--protocol tcp --port 8080 \
--source-group sg-alb123
aws ec2 create-security-group \
--group-name app-tier-sg \
--description "App tier - accepts traffic from web tier only"
aws ec2 authorize-security-group-ingress \
--group-id sg-app123 \
--protocol tcp --port 8443 \
--source-group sg-web123
```
### Step 5: Implement Device Trust Assessment
Integrate endpoint verification to assess device security posture before granting access. Require encryption, OS patches, and endpoint protection.
```bash
# Google Endpoint Verification with BeyondCorp
gcloud access-context-manager levels create managed-device \
--title="Managed and Encrypted Device" \
--basic-level-spec='{
"conditions": [{
"devicePolicy": {
"requireScreenlock": true,
"requireAdminApproval": true,
"allowedEncryptionStatuses": ["ENCRYPTED"],
"allowedDeviceManagementLevels": ["COMPLETE"]
}
}]
}'
# Apply access level to IAP-protected resource
gcloud iap web set-iam-policy \
--resource-type=backend-services \
--service=web-app-backend \
--condition='expression=accessPolicies/POLICY_ID/accessLevels/managed-device'
```
### Step 6: Monitor and Adapt with Continuous Analytics
Deploy logging and analytics to monitor all access decisions, detect anomalies, and continuously refine zero trust policies based on real usage patterns.
```bash
# Export IAP access logs to BigQuery for analysis
gcloud logging sinks create iap-access-logs \
bigquery.googleapis.com/projects/my-project/datasets/security_logs \
--log-filter='resource.type="gce_backend_service" AND protoPayload.serviceName="iap.googleapis.com"'
# AWS Verified Access logs to CloudWatch
aws ec2 modify-verified-access-instance-logging-configuration \
--verified-access-instance-id vai-abc123 \
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