What Is a Cloud Armor Security Policy?
A Cloud Armor security policy is a set of rules that define how Google Cloud's edge‑level firewall evaluates incoming traffic and decides whether to allow, block, or rate‑limit requests. It operates at the HTTP(S) load balancer layer, giving you protection before traffic reaches your backend services.
- What Is a Cloud Armor Security Policy?
- Key Components of a Security Policy
- How Security Policies Are Enforced
- Creating and Managing Policies
- Using the Google Cloud Console
- Using gcloud CLI
- Common Use Cases
- Best Practices for Effective Policies
- Monitoring and Logging
- Sample Comparison: Cloud Armor vs. Traditional Firewalls
- Frequently Asked Questions
- Can I have multiple policies on the same service?
- What is the latency impact?
- How does rate limiting work?
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Key Components of a Security Policy
Every policy consists of three core elements:
- Rules: Ordered statements that match request attributes such as IP address, geographic location, request path, or custom headers.
- Actions: The response applied when a rule matches – typically allow, deny (403), redirect, or rate‑limit.
- Priority: An integer that determines rule evaluation order; lower numbers run first.
How Security Policies Are Enforced
When a request arrives at a Google Cloud HTTP(S) load balancer, Cloud Armor evaluates the attached security policy in real time. The first rule whose conditions match the request's attributes triggers its action, and processing stops. If no rule matches, the default action (usually allow) applies.
Creating and Managing Policies
Using the Google Cloud Console
1. Navigate to **Network Security > Cloud Armor**.2. Click **Create Policy**.3. Define a descriptive name and optional description.4. Add rules, setting priority, match conditions, and actions.5. Attach the policy to one or more backend services or URL maps.
Using gcloud CLI
Example to create a policy that blocks traffic from a malicious IP range:
gcloud compute security-policies create block-bad-ips \ --description="Block known bad IPs"gcloud compute security-policies rules create 1000 \ --security-policy=block-bad-ips \ --action=deny-403 \ --src-ip-ranges=203.0.113.0/24
After creation, bind the policy to a backend service:
gcloud compute backend-services update my-backend \ --security-policy=block-bad-ipsCommon Use Cases
- DDoS mitigation: Rate‑limit requests based on IP or request path to absorb traffic spikes.
- Geoblocking: Deny traffic from regions where you do not serve customers.
- Application firewalling: Block known malicious payloads using pre‑configured OWASP ModSecurity Core Rule Set (CRS) rules.
- API protection: Enforce custom header checks or JWT validation before the request reaches your API.
Best Practices for Effective Policies
Follow these guidelines to keep your security posture strong and manageable:
- Start with a deny‑default posture: Explicitly allow only the traffic you need.
- Use low‑priority catch‑all rules for logging or monitoring before denying.
- Leverage pre‑configured rule sets such as preconfigured-waf for OWASP CRS.
- Test in preview mode by setting the action to allow and reviewing logs.
- Regularly review IP allow‑lists and update them as business needs change.
Monitoring and Logging
Cloud Armor writes detailed logs to Cloud Logging, including rule matches, source IP, and action taken. Use Log Explorer queries such as:
resource.type="http_load_balancer" jsonPayload.securityPolicyName="my-policy" jsonPayload.ruleId="1000"Set up alerts for spikes in deny‑403 responses to detect emerging attacks.
Sample Comparison: Cloud Armor vs. Traditional Firewalls
| Feature | Cloud Armor | Traditional Network Firewall |
|---|---|---|
| Deployment Layer | Edge (HTTP(S) load balancer) | Perimeter network |
| Granularity | HTTP‑level (path, headers, method) | IP/Port level |
| Scalability | Auto‑scales with Google's edge network | Limited by hardware capacity |
| Managed Rules | OWASP CRS, Google‑maintained signatures | Often manual or third‑party |
Frequently Asked Questions
Can I have multiple policies on the same service?
No. A backend service can be associated with only one Cloud Armor security policy at a time. To combine rules, consolidate them into a single policy.
What is the latency impact?
Cloud Armor adds sub‑millisecond latency because evaluation occurs at Google's edge, typically invisible to end users.
How does rate limiting work?
Define a rule with rate_based_ban action, set a request threshold, and specify a ban duration. Exceeding the threshold triggers the ban for the defined period.