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Zero Trust Implementation
Zero Trust Principles
Zero Trust replaces the castle-and-moat model with "never trust, always verify." Every request is authenticated, authorized, and inspected regardless of origin.
Micro-Segmentation
Divide your network into small, isolated zones. Each zone requires separate authentication.
Terraform: AWS security group micro-segmentation
resource "aws_security_group" "app_to_db" {
name = "app-db-ingress"
description = "Allow app tier to database"
vpc_id = var.vpc_id
ingress {
from_port = 5432
to_port = 5432
protocol = "tcp"
security_groups = [aws_security_group.app_tier.id]
}
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
}
Least Privilege Access
Implement just-in-time (JIT) access with ephemeral credentials.
JIT access broker
from datetime import datetime, timedelta
import boto3
def grant_just_in_time_access(user, resource, duration_minutes=60):
iam = boto3.client("iam")
policy = {
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": resource["actions"],
"Resource": resource["arn"],
"Condition": {
"DateLessThan": {
"aws:CurrentTime": (datetime.utcnow() +
timedelta(minutes=duration_minutes)).isoformat()
}
}
}]
}
return iam.create_policy(PolicyName=f"jit-{user}-{int(datetime.utcnow().timestamp())}",
PolicyDocument=json.dumps(policy))
Verify Every Request
Every API call must be verified at the application layer.
// Zero Trust API gateway middleware
function zeroTrustMiddleware(req, res, next) {
const context = {
userId: req.headers["x-user-id"],
deviceId: req.headers["x-device-id"],
geo: req.headers["x-geo-location"],
time: Date.now(),
path: req.path
};
Promise.all([
verifyIdentity(context.userId),
verifyDevice(context.deviceId),
checkGeoPolicy(context.geo, context.path),
checkTimePolicy(context.time)
]).then(([identity, device, geo, time]) => {
if (identity && device && geo.allowed && time.allowed) {
next();
} else {
res.status(401).json({ error: "Access denied" });
}
});
}
Continuous Monitoring
Log and analyze all access attempts in real time.
\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\-- Anomaly detection query
SELECT user_id, COUNT(*) as attempts,
COUNT(DISTINCT ip_address) as ips,
COUNT(DISTINCT geo_location) as regions
FROM access_logs
WHERE timestamp > NOW() - INTERVAL '1 hour'
AND denied = true
GROUP BY user_id
HAVING COUNT(*) > 10;
Conclusion
Zero Trust is an architectural shift, not a product. Start with a single application, implement micro-segmentation, enforce least privilege, and expand gradually. Measure progress by reduction in lateral movement capability and mean time to detect anomalies.
See also: Zero Trust Networking: Architecture and Implementation Guide, Web Application Firewall Implementation, Kubernetes Network Policies.
See also: Zero Trust Networking: Architecture and Implementation Guide, Web Application Firewall Implementation, Audit Logging Best Practices
See also: Zero Trust Networking: Architecture and Implementation Guide, Web Application Firewall Implementation, Audit Logging Best Practices
See also: Zero Trust Networking: Architecture and Implementation Guide, Web Application Firewall Implementation, Audit Logging Best Practices
See also: Zero Trust Networking: Architecture and Implementation Guide, Web Application Firewall Implementation, Audit Logging Best Practices
See also: Zero Trust Networking: Architecture and Implementation Guide, Web Application Firewall Implementation, Audit Logging Best Practices
See also: MFA Implementation, OAuth2 Implementation, Secrets Rotation
See also: MFA Implementation, OAuth2 Implementation, Secrets Rotation
**See als
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