How to Secure AI DevOps and Infrastructure Agents
AI agents managing infrastructure can create servers, modify networking rules, deploy containers, and access cloud credentials — a single ungated action can expose your entire production environment. SafeClaw by Authensor enforces deny-by-default policies on every infrastructure action your AI DevOps agent attempts, gating deployments, protecting secrets, and ensuring infrastructure-as-code changes pass through your approval workflow. Every action is evaluated in sub-milliseconds and recorded in a hash-chained audit trail.
Quick Start
npx @authensor/safeclaw
Creates a .safeclaw/ directory with deny-all defaults. Your DevOps agent cannot touch infrastructure until you write explicit allow rules.
Deployment Gating
AI agents should never deploy directly to production without approval. Gate deployment actions by environment:
# .safeclaw/policies/devops-agent.yaml
rules:
- id: allow-dev-deploy
action: shell.execute
effect: allow
conditions:
command:
pattern: "kubectl apply--namespace=dev"
reason: "Allow deployments to dev namespace"
- id: block-prod-deploy
action: shell.execute
effect: deny
conditions:
command:
pattern: "kubectl apply--namespace=prod"
reason: "Production deployments require human approval"
- id: block-helm-install-prod
action: shell.execute
effect: deny
conditions:
command:
pattern: "helm {install,upgrade}--namespace prod"
reason: "Helm installs to production are blocked"
- id: allow-dry-run
action: shell.execute
effect: allow
conditions:
command:
pattern: "--dry-run"
reason: "Dry-run operations are always safe"
Infrastructure-as-Code Safety
When AI agents generate or modify Terraform, Pulumi, or CloudFormation templates, gate the apply step:
rules:
- id: allow-terraform-plan
action: shell.execute
effect: allow
conditions:
command:
pattern: "terraform plan*"
reason: "Planning is read-only and safe"
- id: block-terraform-apply
action: shell.execute
effect: deny
conditions:
command:
pattern: "terraform apply*"
reason: "Apply requires human review of the plan"
- id: block-terraform-destroy
action: shell.execute
effect: deny
conditions:
command:
pattern: "terraform destroy*"
reason: "Destroy is always blocked for AI agents"
- id: allow-iac-file-writes
action: file.write
effect: allow
conditions:
path:
pattern: "infra/*/.tf"
reason: "Agent can write Terraform files for review"
Credential Protection
DevOps environments are rich with secrets. Prevent your AI agent from reading or exfiltrating credentials:
rules:
- id: block-secret-file-reads
action: file.read
effect: deny
conditions:
path:
pattern: "{/.env,/secret,/credential,/.pem,/.key,/kubeconfig}"
reason: "Credential files are never readable by AI agents"
- id: block-cloud-metadata
action: network.request
effect: deny
conditions:
destination:
pattern: "169.254.169.254*"
reason: "Block SSRF attempts against cloud metadata service"
- id: block-vault-reads
action: shell.execute
effect: deny
conditions:
command:
pattern: "vault read*"
reason: "Agent cannot read secrets from Vault"
Network and Security Group Protection
Prevent AI agents from opening network ports or modifying security groups:
rules:
- id: block-security-group-changes
action: shell.execute
effect: deny
conditions:
command:
pattern: "aws ec2 {authorize,revoke}-security-group*"
reason: "Security group modifications require human approval"
- id: block-firewall-changes
action: shell.execute
effect: deny
conditions:
command:
pattern: "{iptables,ufw,firewall-cmd*}"
reason: "Firewall changes are always blocked"
Why SafeClaw
- 446 tests covering infrastructure-specific policy evaluation patterns
- Deny-by-default — zero infrastructure access until explicitly permitted
- Sub-millisecond evaluation — no latency added to your CI/CD pipeline
- Hash-chained audit trail — every infrastructure action attempt is logged for SOC 2 and ISO 27001 compliance
- Works with Claude AND OpenAI — one policy set regardless of which model drives your DevOps agent
Cross-References
- Infrastructure Agent Recipe
- How to Stop AI Agents from Leaking Keys
- Cloud Metadata SSRF Threat
- SOC 2 Agent Controls
Try SafeClaw
Action-level gating for AI agents. Set it up in your browser in 60 seconds.
$ npx @authensor/safeclaw