Ansible for Confidential Computing: Deploy TEEs, SEV & SGX (2026 Guide)

Confidential computing protects data "in use" through hardware-based trusted execution environments (TEEs). Gartner highlights it as a 2026 strategic trend as sensitive AI and analytics workloads move to shared cloud infrastructure. Ansible automates the deployment and configuration of confidential computing environments.

What Is Confidential Computing?

Traditional security protects data at rest (encryption) and in transit (TLS). Confidential computing adds protection for data in use — while being processed in memory:

| Technology | Vendor | Protection Level | |-----------|--------|-----------------| | AMD SEV-SNP | AMD | Full VM memory encryption + integrity | | Intel TDX | Intel | Trusted domain extensions for VMs | | Intel SGX | Intel | Application-level enclaves | | ARM CCA | ARM | Confidential compute architecture |

See also: Ansible for Data Sovereignty & Geopatriation: Manage Sovereign Cloud Infrastructure (2026 Guide)

Deploy AMD SEV-SNP Encrypted VMs

- name: Configure AMD SEV-SNP host
  hosts: sev_hosts
  become: true
  tasks:
    - name: Verify AMD SEV support
      ansible.builtin.command: dmesg | grep -i sev
      register: sev_check
      changed_when: false
      failed_when: "'SEV' not in sev_check.stdout"
- name: Enable SEV in kernel parameters
      ansible.builtin.lineinfile:
        path: /etc/default/grub
        regexp: '^GRUB_CMDLINE_LINUX='
        line: 'GRUB_CMDLINE_LINUX="mem_encrypt=on kvm_amd.sev=1 kvm_amd.sev_es=1 kvm_amd.sev_snp=1"'
      notify: update grub
- name: Check SEV status
      ansible.builtin.command: cat /sys/module/kvm_amd/parameters/sev
      register: sev_enabled
      changed_when: false
- name: Verify SEV-SNP status
      ansible.builtin.command: cat /sys/module/kvm_amd/parameters/sev_snp
      register: snp_enabled
      changed_when: false
- name: Display SEV status
      ansible.builtin.debug:
        msg: "SEV: {{ sev_enabled.stdout }}, SNP: {{ snp_enabled.stdout }}"
- name: Deploy SEV-capable QEMU/KVM
      ansible.builtin.apt:
        name:
          - qemu-kvm
          - libvirt-daemon-system
          - sev-guest-tools
        state: present

Launch Encrypted VM

- name: Launch SEV-SNP encrypted VM
  hosts: sev_hosts
  become: true
  vars:
    vm_name: confidential-workload-01
    vm_memory: 16384
    vm_cpus: 8
    sev_policy: 0x7    # SEV-ES + SEV-SNP
tasks:
    - name: Define encrypted VM
      community.libvirt.virt:
        command: define
        xml: |
          <domain type='kvm'>
            <name>{{ vm_name }}</name>
            <memory unit='MiB'>{{ vm_memory }}</memory>
            <vcpu>{{ vm_cpus }}</vcpu>
            <os>
              <type arch='x86_64' machine='q35'>hvm</type>
              <loader readonly='yes' type='pflash'>/usr/share/OVMF/OVMF_CODE_4M.ms.fd</loader>
            </os>
            <launchSecurity type='sev-snp'>
              <policy>{{ sev_policy }}</policy>
              <guestVisibleWorkarounds/>
            </launchSecurity>
            <devices>
              <interface type='network'>
                <source network='default'/>
              </interface>
              <disk type='file' device='disk'>
                <driver name='qemu' type='qcow2'/>
                <source file='/var/lib/libvirt/images/{{ vm_name }}.qcow2'/>
                <target dev='vda' bus='virtio'/>
              </disk>
            </devices>
          </domain>
- name: Start encrypted VM
      community.libvirt.virt:
        name: "{{ vm_name }}"
        state: running

Configure Intel SGX Enclaves

- name: Configure Intel SGX environment
  hosts: sgx_hosts
  become: true
  tasks:
    - name: Check SGX support
      ansible.builtin.command: cpuid | grep -i sgx
      register: sgx_check
      changed_when: false
- name: Install SGX SDK and runtime
      ansible.builtin.apt:
        name:
          - libsgx-launch
          - libsgx-urts
          - libsgx-epid
          - libsgx-quote-ex
          - sgx-aesm-service
        state: present
- name: Start SGX AESM service
      ansible.builtin.systemd:
        name: aesmd
        state: started
        enabled: true
- name: Configure SGX enclave memory
      ansible.builtin.sysctl:
        name: vm.mmap_min_addr
        value: "0"
        state: present
        reload: true

See also: Ansible for AI Infrastructure: Deploy LLMs, GPUs & ML Pipelines (2026 Guide)

Attestation Service

- name: Deploy attestation verification service
  hosts: attestation_servers
  become: true
  tasks:
    - name: Deploy attestation service
      community.docker.docker_container:
        name: attestation-service
        image: "{{ attestation_service_image }}"
        state: started
        restart_policy: unless-stopped
        ports:
          - "8443:8443"
        volumes:
          - /etc/attestation:/etc/attestation:ro
        env:
          ATTESTATION_POLICY: /etc/attestation/policy.yaml
          TLS_CERT: /etc/attestation/tls.crt
          TLS_KEY: /etc/attestation/tls.key
- name: Deploy attestation policy
      ansible.builtin.copy:
        content: |
          # Attestation policy for confidential workloads
          policies:
            sev_snp:
              min_tcb_version: "3.0"
              require_id_block: true
              allowed_platforms:
                - Milan
                - Genoa
            sgx:
              require_signed_enclave: true
              allowed_mrsigner:
                - "{{ vault_enclave_signer_hash }}"
              min_isvsvn: 2
        dest: /etc/attestation/policy.yaml
      no_log: true

Confidential AI Workloads

- name: Deploy confidential AI inference
  hosts: confidential_gpu
  become: true
  tasks:
    - name: Deploy NVIDIA Confidential Computing container
      community.docker.docker_container:
        name: confidential-inference
        image: nvcr.io/nvidia/tritonserver:24.10-py3
        state: started
        security_opts:
          - "no-new-privileges:true"
        tmpfs:
          /dev/shm: "size=4g"
        volumes:
          - /models/encrypted:/models:ro
        env:
          NVIDIA_CC_MODE: "on"    # Confidential computing mode
          MODEL_REPOSITORY: /models
        device_requests:
          - driver: nvidia
            count: -1
            capabilities: [["gpu", "compute"]]

See also: Ansible for Agentic AI: Automate Multi-Agent Systems Infrastructure (2026 Guide)

FAQ

What is confidential computing?

Confidential computing protects data while it's being processed in memory, using hardware-based trusted execution environments (TEEs) like AMD SEV-SNP and Intel SGX/TDX. This prevents even cloud administrators and hypervisor operators from accessing your data.

How does Ansible help deploy confidential computing?

Ansible automates kernel parameter configuration for SEV/SGX, deploys encrypted VMs, installs SGX SDKs, configures attestation services, and manages confidential container workloads — ensuring consistent, repeatable deployment of confidential computing infrastructure.

Can I run AI workloads in confidential computing environments?

Yes. NVIDIA supports confidential computing for GPU workloads, and AMD SEV-SNP encrypts entire VM memory including GPU access. Ansible can deploy AI inference servers in confidential VMs or containers with hardware-based encryption.

Conclusion

Confidential computing moves from niche to necessity in 2026 as sensitive AI workloads run on shared infrastructure. Ansible automates the deployment of AMD SEV-SNP encrypted VMs, Intel SGX enclaves, attestation services, and confidential AI containers — making hardware-based data protection deployable at scale.

Related Articles

• Ansible AI Security: Protect Models & APIs • Ansible Post-Quantum Cryptography • Ansible Vault: Encrypt Secrets