Security Hardening Plan - Coditect V5

Date: 2025-10-07 Status: 📋 Planning Phase Target: Production-Ready Security Posture Timeline: 3 Phases (Immediate, Short-term, Long-term)

🎯 Executive Summary

This document outlines a comprehensive security hardening plan for the Coditect V5 platform deployed on GKE. The plan addresses current security gaps and establishes a roadmap to achieve production-grade security compliance (SOC2, GDPR, HIPAA-ready).

Current Security Posture: 🟡 Development (Not production-ready)

Target Security Posture: 🟢 Production (SOC2 Type II ready)

Estimated Effort: 40-60 hours across 3 phases

📊 Current Security Assessment

✅ What's Already Secure

Category	Status	Evidence
Network Isolation	✅ Good	VPC-native GKE, private pod networking
TLS in Transit	✅ Good	Google-managed SSL cert for `coditect.ai`
RBAC	✅ Basic	GKE default RBAC enabled
Audit Logging	✅ Enabled	Cloud Audit Logs active
JWT Authentication	✅ Implemented	Token-based API auth with HS256
Multi-tenancy	✅ Architected	Self-tenant pattern in FDB

🟡 What Needs Improvement

Category	Risk Level	Issue	Impact
Secret Management	🔴 High	JWT secret in K8s Secret (base64)	Secret exposure if cluster compromised
Static IPs	🟡 Medium	Ephemeral LoadBalancer IPs	Service disruption on recreate
Network Policies	🔴 High	No NetworkPolicies defined	Unrestricted pod-to-pod traffic
Pod Security	🟡 Medium	No PodSecurityPolicy/Standards	Pods can run as root
Image Security	🟡 Medium	No image scanning	Vulnerable dependencies
Firewall Rules	🟡 Medium	SSH open to `0.0.0.0/0`	Brute-force risk
Private Cluster	🟡 Medium	Public control plane	Increased attack surface
Secrets Rotation	🔴 High	No automatic rotation	Stale credentials
Binary Authorization	🟠 Low	Not enabled	Unsigned images can deploy
WAF	🟠 Low	No Cloud Armor	No DDoS/injection protection

🛡️ Hardening Roadmap

Phase 1: Critical Security (Week 1) - Immediate

Goal: Address high-risk vulnerabilities that could lead to immediate compromise.

Estimated Time: 16-20 hours

1.1 Secret Management Migration

Current: JWT secret stored in Kubernetes Secret (base64 encoded, not encrypted at rest by default)

Target: Google Secret Manager with Workload Identity

Implementation:

# 1. Create secret in Secret Manager
gcloud secrets create jwt-secret \
  --replication-policy="automatic" \
  --project=serene-voltage-464305-n2

# 2. Add secret value
echo -n "YOUR_SECURE_JWT_SECRET_256_BITS" | \
  gcloud secrets versions add jwt-secret --data-file=-

# 3. Grant Workload Identity access
gcloud secrets add-iam-policy-binding jwt-secret \
  --member="serviceAccount:coditect-api-v5@serene-voltage-464305-n2.iam.gserviceaccount.com" \
  --role="roles/secretmanager.secretAccessor"

# 4. Update Terraform to use Secret Manager

Terraform Example:

# modules/api-deployment/main.tf
data "google_secret_manager_secret_version" "jwt_secret" {
  secret = "jwt-secret"
}

resource "kubernetes_secret" "jwt_secret" {
  metadata {
    name      = "jwt-secret-k8s"
    namespace = var.namespace
  }

  data = {
    secret = data.google_secret_manager_secret_version.jwt_secret.secret_data
  }
}

Validation:

# Verify pod can access secret
kubectl exec -n coditect-app <pod-name> -- env | grep JWT_SECRET

Timeline: 2-3 hours

1.2 Network Policies

Current: All pods can communicate with all other pods (default allow-all)

Target: Zero-trust network segmentation

Implementation:

Policy 1: Deny All by Default

# network-policy-deny-all.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: deny-all-ingress
  namespace: coditect-app
spec:
  podSelector: {}
  policyTypes:
  - Ingress
  - Egress

Policy 2: Allow API → FoundationDB

# network-policy-api-to-fdb.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: api-to-fdb
  namespace: coditect-app
spec:
  podSelector:
    matchLabels:
      app: foundationdb
  policyTypes:
  - Ingress
  ingress:
  - from:
    - podSelector:
        matchLabels:
          app: coditect-api-v5
    ports:
    - protocol: TCP
      port: 4500

Policy 3: Allow LoadBalancer → API

# network-policy-lb-to-api.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: allow-lb-to-api
  namespace: coditect-app
spec:
  podSelector:
    matchLabels:
      app: coditect-api-v5
  policyTypes:
  - Ingress
  ingress:
  - from:
    - namespaceSelector: {}
    ports:
    - protocol: TCP
      port: 8080

Policy 4: Allow API Egress (DNS + FDB + External)

# network-policy-api-egress.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: api-egress
  namespace: coditect-app
spec:
  podSelector:
    matchLabels:
      app: coditect-api-v5
  policyTypes:
  - Egress
  egress:
  # DNS
  - to:
    - namespaceSelector:
        matchLabels:
          name: kube-system
    - podSelector:
        matchLabels:
          k8s-app: kube-dns
    ports:
    - protocol: UDP
      port: 53
  # FoundationDB
  - to:
    - podSelector:
        matchLabels:
          app: foundationdb
    ports:
    - protocol: TCP
      port: 4500
  # External (for future integrations)
  - to:
    - namespaceSelector: {}
    ports:
    - protocol: TCP
      port: 443

Apply Policies:

kubectl apply -f network-policy-deny-all.yaml
kubectl apply -f network-policy-api-to-fdb.yaml
kubectl apply -f network-policy-lb-to-api.yaml
kubectl apply -f network-policy-api-egress.yaml

Validation:

# Test API can reach FDB
kubectl exec -n coditect-app <api-pod> -- nc -zv fdb-cluster.coditect-app.svc.cluster.local 4500

# Test API cannot reach unrelated pods (should fail)
kubectl exec -n coditect-app <api-pod> -- nc -zv <other-pod-ip> 80

Timeline: 4-6 hours (includes testing)

1.3 Firewall Rule Hardening

Current: SSH allowed from 0.0.0.0/0

Target: Restrict SSH to known IPs only

Implementation:

# 1. Identify current SSH firewall rule
gcloud compute firewall-rules list --filter="name~ssh" --project=serene-voltage-464305-n2

# 2. Update to restrict source IPs
gcloud compute firewall-rules update allow-ssh \
  --source-ranges="YOUR_OFFICE_IP/32,YOUR_VPN_IP/32" \
  --project=serene-voltage-464305-n2

# 3. Create bastion host for emergency access (optional)
# See Section 2.5 for bastion setup

Terraform Example:

# modules/networking/main.tf
resource "google_compute_firewall" "allow_ssh" {
  name    = "allow-ssh-restricted"
  network = google_compute_network.vpc.name
  project = var.project_id

  allow {
    protocol = "tcp"
    ports    = ["22"]
  }

  source_ranges = var.allowed_ssh_ips  # ["1.2.3.4/32", "5.6.7.8/32"]
  target_tags   = ["allow-ssh"]
}

Timeline: 1 hour

1.4 Pod Security Standards

Current: Pods can run as root, with privileged escalation

Target: Enforce restricted Pod Security Standards

Implementation:

Enable Pod Security Admission (K8s 1.25+):

# namespace-pod-security.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: coditect-app
  labels:
    pod-security.kubernetes.io/enforce: restricted
    pod-security.kubernetes.io/audit: restricted
    pod-security.kubernetes.io/warn: restricted

Update API Deployment to Comply:

# modules/api-deployment/main.tf (Kubernetes manifest)
apiVersion: apps/v1
kind: Deployment
metadata:
  name: coditect-api-v5
spec:
  template:
    spec:
      securityContext:
        runAsNonRoot: true
        runAsUser: 1000
        fsGroup: 1000
        seccompProfile:
          type: RuntimeDefault
      containers:
      - name: api
        securityContext:
          allowPrivilegeEscalation: false
          capabilities:
            drop:
            - ALL
          readOnlyRootFilesystem: true  # May require volumeMounts for tmp

Apply:

kubectl label namespace coditect-app pod-security.kubernetes.io/enforce=restricted
kubectl apply -f updated-deployment.yaml

Validation:

# Verify pod is not running as root
kubectl exec -n coditect-app <pod-name> -- id
# Output: uid=1000 gid=1000 (NOT uid=0)

Timeline: 3-4 hours (includes fixing deployment spec)

1.5 Static IP Reservation

Current: Ephemeral LoadBalancer IPs (change on recreate)

Target: Static reserved IPs for all LoadBalancers

Implementation:

# 1. Reserve IPs
gcloud compute addresses create api-lb-static-ip \
  --region=us-central1 \
  --project=serene-voltage-464305-n2

gcloud compute addresses create workspace-lb-static-ip \
  --region=us-central1 \
  --project=serene-voltage-464305-n2

# 2. Get IP addresses
API_STATIC_IP=$(gcloud compute addresses describe api-lb-static-ip --region=us-central1 --format="get(address)")
WORKSPACE_STATIC_IP=$(gcloud compute addresses describe workspace-lb-static-ip --region=us-central1 --format="get(address)")

# 3. Update LoadBalancer services
kubectl patch svc api-loadbalancer -n coditect-app -p "{\"spec\":{\"loadBalancerIP\":\"$API_STATIC_IP\"}}"
kubectl patch svc codi-workspace-lb -n codi-workspaces -p "{\"spec\":{\"loadBalancerIP\":\"$WORKSPACE_STATIC_IP\"}}"

# 4. Update DNS
# Point coditect.ai A record to $API_STATIC_IP

Terraform Example:

# modules/api-deployment/main.tf
resource "google_compute_address" "api_lb_ip" {
  name   = "api-lb-static-ip"
  region = var.region
}

resource "kubernetes_service" "api_loadbalancer" {
  metadata {
    name      = "api-loadbalancer"
    namespace = var.namespace
  }

  spec {
    type             = "LoadBalancer"
    load_balancer_ip = google_compute_address.api_lb_ip.address
    # ...
  }
}

Timeline: 1-2 hours

Phase 2: Enhanced Security (Week 2-3) - Short-term

Goal: Implement defense-in-depth and compliance requirements.

Estimated Time: 16-24 hours

2.1 Image Vulnerability Scanning

Current: No automated scanning of container images

Target: Continuous scanning with blocking on critical CVEs

Implementation:

Enable Container Scanning:

# 1. Enable Artifact Registry vulnerability scanning
gcloud services enable containerscanning.googleapis.com \
  --project=serene-voltage-464305-n2

# 2. Configure scanning
gcloud artifacts repositories add-iam-policy-binding coditect-registry \
  --location=us-central1 \
  --member=serviceAccount:service-<PROJECT_NUMBER>@containerscanning.iam.gserviceaccount.com \
  --role=roles/containerscanning.serviceAgent

Cloud Build Integration:

# cloudbuild.yaml
steps:
- name: 'gcr.io/cloud-builders/docker'
  args: ['build', '-t', 'gcr.io/$PROJECT_ID/coditect-v5-api:$SHORT_SHA', '.']

# Scan image
- name: 'gcr.io/cloud-builders/gcloud'
  args:
  - 'container'
  - 'images'
  - 'scan'
  - 'gcr.io/$PROJECT_ID/coditect-v5-api:$SHORT_SHA'

# Check scan results (fail build on critical)
- name: 'gcr.io/cloud-builders/gcloud'
  entrypoint: 'bash'
  args:
  - '-c'
  - |
    CRITICAL=$(gcloud container images describe gcr.io/$PROJECT_ID/coditect-v5-api:$SHORT_SHA \
      --format='value(discovery.analysisStatus.criticalCount)')
    if [[ "$CRITICAL" -gt 0 ]]; then
      echo "❌ Found $CRITICAL critical vulnerabilities"
      exit 1
    fi

Timeline: 3-4 hours

2.2 Binary Authorization

Current: Any image can be deployed to cluster

Target: Only signed/verified images can deploy

Implementation:

Enable Binary Authorization:

# 1. Enable API
gcloud services enable binaryauthorization.googleapis.com \
  --project=serene-voltage-464305-n2

# 2. Create attestor
gcloud container binauthz attestors create prod-attestor \
  --attestation-authority-note=prod-note \
  --attestation-authority-note-project=serene-voltage-464305-n2

# 3. Create policy
cat > policy.yaml << EOF
admissionWhitelistPatterns:
- namePattern: gcr.io/serene-voltage-464305-n2/*
defaultAdmissionRule:
  requireAttestationsBy:
  - projects/serene-voltage-464305-n2/attestors/prod-attestor
  enforcementMode: ENFORCED_BLOCK_AND_AUDIT_LOG
EOF

gcloud container binauthz policy import policy.yaml

# 4. Enable on GKE cluster
gcloud container clusters update codi-poc-e2-cluster \
  --enable-binauthz \
  --zone=us-central1-a

Cloud Build Signing:

# cloudbuild.yaml (after successful build)
- name: 'gcr.io/cloud-builders/gcloud'
  args:
  - 'beta'
  - 'container'
  - 'binauthz'
  - 'attestations'
  - 'sign-and-create'
  - '--artifact-url=gcr.io/$PROJECT_ID/coditect-v5-api:$SHORT_SHA'
  - '--attestor=projects/$PROJECT_ID/attestors/prod-attestor'
  - '--attestor-project=$PROJECT_ID'

Timeline: 4-5 hours

2.3 Private GKE Cluster

Current: Public control plane endpoint

Target: Private control plane with authorized networks

Implementation:

⚠️ WARNING: This requires cluster recreation. Plan downtime or blue-green migration.

Option 1: Terraform Module Update (Recommended):

# modules/gke-cluster/main.tf
resource "google_container_cluster" "primary" {
  name     = var.cluster_name
  location = var.zone

  # Enable private cluster
  private_cluster_config {
    enable_private_nodes    = true
    enable_private_endpoint = false  # Set true for full private (requires VPN/bastion)
    master_ipv4_cidr_block  = "172.16.0.0/28"
  }

  # Authorized networks (who can access control plane)
  master_authorized_networks_config {
    cidr_blocks {
      cidr_block   = "YOUR_OFFICE_IP/32"
      display_name = "Office"
    }
    cidr_blocks {
      cidr_block   = "YOUR_VPN_IP/32"
      display_name = "VPN"
    }
  }

  # IP allocation for VPC-native cluster
  ip_allocation_policy {
    cluster_secondary_range_name  = "pod-range"
    services_secondary_range_name = "service-range"
  }
}

Option 2: Manual Migration (if not using Terraform):

# 1. Create new private cluster
gcloud container clusters create codi-poc-e2-cluster-private \
  --enable-private-nodes \
  --enable-private-endpoint \
  --master-ipv4-cidr 172.16.0.0/28 \
  --enable-ip-alias \
  --zone=us-central1-a

# 2. Migrate workloads (see Section 3.5 for blue-green)

# 3. Delete old cluster
gcloud container clusters delete codi-poc-e2-cluster

Timeline: 6-8 hours (includes migration)

2.4 Secrets Rotation Policy

Current: No automated rotation

Target: 90-day rotation for all secrets

Implementation:

Automated Rotation with Secret Manager:

# 1. Enable Secret Manager rotation
gcloud secrets add-rotation-schedule jwt-secret \
  --rotation-period=90d \
  --next-rotation-time=$(date -d '+90 days' --iso-8601=seconds)

# 2. Create Cloud Function for rotation
# (Generates new JWT secret, updates Secret Manager, triggers pod restart)

Manual Rotation Runbook (until automation ready):

#!/bin/bash
# rotate-jwt-secret.sh

# 1. Generate new secret
NEW_SECRET=$(openssl rand -base64 32)

# 2. Add to Secret Manager
echo -n "$NEW_SECRET" | gcloud secrets versions add jwt-secret --data-file=-

# 3. Restart API pods to pick up new secret
kubectl rollout restart deployment/coditect-api-v5 -n coditect-app

# 4. Verify health
kubectl rollout status deployment/coditect-api-v5 -n coditect-app
curl http://34.46.212.40/api/v5/health

# 5. Document rotation in audit log
echo "$(date): JWT secret rotated" >> /var/log/secret-rotation.log

Timeline: 3-4 hours (manual); 8-10 hours (automation)

2.5 Bastion Host for Emergency Access

Current: Direct SSH to nodes (disabled in prod)

Target: Bastion host with audit logging

Implementation:

Create Bastion VM:

gcloud compute instances create coditect-bastion \
  --zone=us-central1-a \
  --machine-type=e2-micro \
  --subnet=default \
  --no-address \
  --metadata=enable-oslogin=TRUE \
  --scopes=cloud-platform \
  --tags=bastion

Firewall Rules:

# Allow SSH to bastion only
gcloud compute firewall-rules create allow-ssh-to-bastion \
  --network=default \
  --allow=tcp:22 \
  --source-ranges=YOUR_OFFICE_IP/32 \
  --target-tags=bastion

# Allow bastion to reach cluster nodes
gcloud compute firewall-rules create allow-bastion-to-nodes \
  --network=default \
  --allow=tcp:22 \
  --source-tags=bastion \
  --target-tags=gke-node

Access via IAP (Identity-Aware Proxy):

# Enable IAP
gcloud compute start-iap-tunnel coditect-bastion 22 \
  --local-host-port=localhost:2222 \
  --zone=us-central1-a

# SSH through tunnel
ssh -p 2222 localhost

Timeline: 2-3 hours

Phase 3: Compliance & Monitoring (Week 4+) - Long-term

Goal: Achieve SOC2 Type II readiness and continuous security monitoring.

Estimated Time: 16-20 hours

3.1 Cloud Armor (WAF)

Current: No Web Application Firewall

Target: DDoS protection, rate limiting, OWASP Top 10 protection

Implementation:

Create Cloud Armor Security Policy:

# 1. Create policy
gcloud compute security-policies create coditect-api-policy \
  --description="Coditect API WAF Policy"

# 2. Add OWASP rules
gcloud compute security-policies rules create 1000 \
  --security-policy=coditect-api-policy \
  --expression="evaluatePreconfiguredExpr('sqli-stable')" \
  --action=deny-403

gcloud compute security-policies rules create 1001 \
  --security-policy=coditect-api-policy \
  --expression="evaluatePreconfiguredExpr('xss-stable')" \
  --action=deny-403

# 3. Rate limiting
gcloud compute security-policies rules create 2000 \
  --security-policy=coditect-api-policy \
  --expression="true" \
  --action=rate-based-ban \
  --rate-limit-threshold-count=1000 \
  --rate-limit-threshold-interval-sec=60 \
  --ban-duration-sec=600

# 4. Attach to backend service
gcloud compute backend-services update <backend-service-name> \
  --security-policy=coditect-api-policy \
  --global

Timeline: 4-5 hours

3.2 Continuous Compliance Monitoring

Tools: Forseti Security, Config Connector, Security Command Center

Implementation:

Enable Security Command Center:

gcloud services enable securitycenter.googleapis.com

# Enable premium tier (required for full features)
gcloud scc settings update-service-config \
  --organization=YOUR_ORG_ID \
  --service-enablement-state=ENABLED \
  --module-name=CONTAINER_THREAT_DETECTION

Configure Compliance Scanning:

# Scan for CIS GKE Benchmark violations
gcloud scc findings list \
  --organization=YOUR_ORG_ID \
  --filter="category='CIS_GKE_BENCHMARK'"

Timeline: 3-4 hours (setup); ongoing monitoring

3.3 Intrusion Detection (IDS)

Current: No network-level IDS

Target: Detect malicious traffic patterns

Implementation:

Enable Cloud IDS:

gcloud services enable ids.googleapis.com

# Create IDS endpoint
gcloud ids endpoints create coditect-ids \
  --network=default \
  --zone=us-central1-a \
  --severity=INFORMATIONAL

Configure Alerts:

# Create alert policy for IDS findings
gcloud alpha monitoring policies create \
  --notification-channels=EMAIL_CHANNEL_ID \
  --display-name="IDS High Severity Alert" \
  --condition-display-name="IDS Threat Detected" \
  --condition-filter='resource.type="ids.googleapis.com/Endpoint" severity="HIGH"'

Timeline: 4-5 hours

3.4 Backup & Disaster Recovery

Current: No automated backups (StatefulSet PVCs only)

Target: Daily backups with 30-day retention

Implementation:

GKE Backup for Applications:

gcloud services enable gkebackup.googleapis.com

# Create backup plan
gcloud backup-dr backup-plans create coditect-backup-plan \
  --project=serene-voltage-464305-n2 \
  --location=us-central1 \
  --backup-vault=projects/serene-voltage-464305-n2/locations/us-central1/backupVaults/default \
  --resource-type=GKE_BACKUP

FoundationDB Backup:

# Use FDB backup tool
kubectl exec -n coditect-app foundationdb-0 -- fdbbackup start \
  -d "blobstore://backup@gs://coditect-fdb-backups?bucket=coditect-fdb-backups"

Timeline: 4-6 hours

3.5 Blue-Green Deployment Strategy

Current: Rolling updates (downtime risk)

Target: Zero-downtime deployments with instant rollback

Implementation:

Blue-Green with Separate Deployments:

# deployment-green.yaml (new version)
apiVersion: apps/v1
kind: Deployment
metadata:
  name: coditect-api-v5-green
  namespace: coditect-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: coditect-api-v5
      version: green
  template:
    metadata:
      labels:
        app: coditect-api-v5
        version: green
    spec:
      containers:
      - name: api
        image: gcr.io/serene-voltage-464305-n2/coditect-v5-api:NEW_version

Traffic Switching:

# 1. Deploy green
kubectl apply -f deployment-green.yaml

# 2. Wait for ready
kubectl wait --for=condition=available deployment/coditect-api-v5-green -n coditect-app

# 3. Test green
kubectl port-forward -n coditect-app svc/coditect-api-v5-green 9090:80
curl http://localhost:9090/api/v5/health

# 4. Switch traffic (update service selector)
kubectl patch svc api-loadbalancer -n coditect-app -p '{"spec":{"selector":{"version":"green"}}}'

# 5. Monitor for issues
# If issues: kubectl patch svc api-loadbalancer -n coditect-app -p '{"spec":{"selector":{"version":"blue"}}}'

# 6. Delete blue after verification
kubectl delete deployment coditect-api-v5-blue -n coditect-app

Timeline: 3-4 hours

📋 Implementation Checklist

Phase 1: Critical Security (Week 1)

1.1 Migrate JWT secret to Google Secret Manager (2-3h)
1.2 Implement NetworkPolicies (4-6h)
1.3 Harden firewall rules (restrict SSH) (1h)
1.4 Enforce Pod Security Standards (3-4h)
1.5 Reserve static IPs for LoadBalancers (1-2h)

Total Phase 1: 11-16 hours

Phase 2: Enhanced Security (Week 2-3)

2.1 Enable image vulnerability scanning (3-4h)
2.2 Implement Binary Authorization (4-5h)
2.3 Migrate to private GKE cluster (6-8h)
2.4 Set up secrets rotation (3-10h)
2.5 Deploy bastion host (2-3h)

Total Phase 2: 18-30 hours

Phase 3: Compliance & Monitoring (Week 4+)

3.1 Deploy Cloud Armor WAF (4-5h)
3.2 Enable continuous compliance monitoring (3-4h)
3.3 Configure Intrusion Detection System (4-5h)
3.4 Implement backup & DR (4-6h)
3.5 Set up blue-green deployments (3-4h)

Total Phase 3: 18-24 hours

🎯 Success Criteria

Security Metrics

Metric	Current	Target	Measurement
Secrets in K8s	1 (JWT)	0	All in Secret Manager
Network Policies	0	5+	`kubectl get networkpolicies`
Critical CVEs	Unknown	0	Artifact Registry scan
Pod Security	Permissive	Restricted	`kubectl get ns -o yaml \| grep pod-security`
SSH Exposure	`0.0.0.0/0`	Specific IPs	`gcloud compute firewall-rules list`
Control Plane	Public	Private	`gcloud container clusters describe`
Static IPs	0/3	3/3	`gcloud compute addresses list`
WAF Rules	0	10+	`gcloud compute security-policies describe`
Backup Frequency	Manual	Daily	GKE Backup schedule

Compliance Benchmarks

CIS GKE Benchmark: 90%+ compliance
OWASP Top 10: Mitigations in place for all 10
SOC2 Type II: Controls documented and auditable
GDPR: Data encryption at rest/transit, access logs, retention policies

🚨 Rollback Plans

If NetworkPolicies Break Connectivity

# Immediate: Delete deny-all policy
kubectl delete networkpolicy deny-all-ingress -n coditect-app

# Fix: Review logs to identify blocked traffic
kubectl logs -n kube-system -l k8s-app=calico-node --tail=100 | grep DENY

# Update: Add necessary egress rules, reapply

If Binary Authorization Blocks Deployment

# Immediate: Disable enforcement
gcloud container binauthz policy export > policy-backup.yaml
# Edit policy.yaml, set enforcementMode: DRYRUN_AUDIT_LOG_ONLY
gcloud container binauthz policy import policy.yaml

# Fix: Attest the image
# Reapply: Re-enable enforcement after verification

If Private Cluster Causes Access Issues

# Immediate: Add temporary authorized network
gcloud container clusters update codi-poc-e2-cluster \
  --enable-master-authorized-networks \
  --master-authorized-networks=YOUR_CURRENT_IP/32 \
  --zone=us-central1-a

# Long-term: Set up VPN or bastion (see 2.5)

💰 Cost Impact

Item	Monthly Cost	Notes
Secret Manager	~$0.06/secret	10,000 operations/month free
Static IPs	~$7/IP	3 IPs = $21/month
Cloud Armor	~$5 + $1/rule	~$15/month
Binary Authorization	Free	Included with GKE
Network Policies	Free	Included with GKE
Bastion (e2-micro)	~$7/month	730 hours
Cloud IDS	~$450/month	$0.60/GB processed
GKE Backup	~$0.10/GB/month	150GB = $15/month

Total Estimated Increase: ~$500-550/month (with IDS); ~$50-100/month (without IDS)

Cost Optimization: Skip Cloud IDS for initial phases, rely on Cloud Armor + Security Command Center.

📚 References

GKE Security Best Practices: https://cloud.google.com/kubernetes-engine/docs/how-to/hardening-your-cluster
CIS GKE Benchmark: https://www.cisecurity.org/benchmark/kubernetes
OWASP Kubernetes Security: https://cheatsheetseries.owasp.org/cheatsheets/Kubernetes_Security_Cheat_Sheet.html
Google Cloud Security: https://cloud.google.com/security/best-practices
Binary Authorization: https://cloud.google.com/binary-authorization/docs
Network Policies: https://kubernetes.io/docs/concepts/services-networking/network-policies/

📞 Escalation

Security Incidents:

Isolate affected pods: kubectl delete pod <pod-name>
Review Cloud Audit Logs
Contact security team
Follow incident response runbook

Critical Issues:

P0 (service down): Rollback immediately
P1 (security breach): Isolate, investigate, patch
P2 (compliance violation): Document, remediate within 7 days

Last Updated: 2025-10-07 Next Review: 2025-10-14 (after Phase 1 completion) Owner: Platform Security Team

🎯 Executive Summary​

📊 Current Security Assessment​

✅ What's Already Secure​

🟡 What Needs Improvement​

🛡️ Hardening Roadmap​

Phase 1: Critical Security (Week 1) - Immediate​

1.1 Secret Management Migration​

1.2 Network Policies​

1.3 Firewall Rule Hardening​

1.4 Pod Security Standards​

1.5 Static IP Reservation​

Phase 2: Enhanced Security (Week 2-3) - Short-term​

2.1 Image Vulnerability Scanning​

2.2 Binary Authorization​

2.3 Private GKE Cluster​

2.4 Secrets Rotation Policy​

2.5 Bastion Host for Emergency Access​

Phase 3: Compliance & Monitoring (Week 4+) - Long-term​

3.1 Cloud Armor (WAF)​

3.2 Continuous Compliance Monitoring​

3.3 Intrusion Detection (IDS)​

3.4 Backup & Disaster Recovery​

3.5 Blue-Green Deployment Strategy​

📋 Implementation Checklist​

Phase 1: Critical Security (Week 1)​

Phase 2: Enhanced Security (Week 2-3)​

Phase 3: Compliance & Monitoring (Week 4+)​

🎯 Success Criteria​

Security Metrics​

Compliance Benchmarks​

🚨 Rollback Plans​

If NetworkPolicies Break Connectivity​

If Binary Authorization Blocks Deployment​

If Private Cluster Causes Access Issues​

💰 Cost Impact​

📚 References​

📞 Escalation​

🎯 Executive Summary

📊 Current Security Assessment

✅ What's Already Secure

🟡 What Needs Improvement

🛡️ Hardening Roadmap

Phase 1: Critical Security (Week 1) - Immediate

1.1 Secret Management Migration

1.2 Network Policies

1.3 Firewall Rule Hardening

1.4 Pod Security Standards

1.5 Static IP Reservation

Phase 2: Enhanced Security (Week 2-3) - Short-term

2.1 Image Vulnerability Scanning

2.2 Binary Authorization

2.3 Private GKE Cluster

2.4 Secrets Rotation Policy

2.5 Bastion Host for Emergency Access

Phase 3: Compliance & Monitoring (Week 4+) - Long-term

3.1 Cloud Armor (WAF)

3.2 Continuous Compliance Monitoring

3.3 Intrusion Detection (IDS)

3.4 Backup & Disaster Recovery

3.5 Blue-Green Deployment Strategy

📋 Implementation Checklist

Phase 1: Critical Security (Week 1)

Phase 2: Enhanced Security (Week 2-3)

Phase 3: Compliance & Monitoring (Week 4+)

🎯 Success Criteria

Security Metrics

Compliance Benchmarks

🚨 Rollback Plans

If NetworkPolicies Break Connectivity

If Binary Authorization Blocks Deployment

If Private Cluster Causes Access Issues

💰 Cost Impact

📚 References

📞 Escalation