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OpenClaw agentic automation workflow demo at Red Hat Tech Day Netherlands 2026
Automation

OpenClaw Agentic Automation with Ansible: CVE Remediation at Red Hat Tech Day 2026

Live demo of OpenClaw orchestrating end-to-end CVE remediation β€” from agent detection through ServiceNow ITSM ticketing, OPA policy review, AAP playbook execution, and post-remediation compliance reporting. The future of autonomous infrastructure operations.

LB
Luca Berton
Β· 2 min read

At Red Hat Tech Day Netherlands (June 2026), Fred van Zuiden and Ismail Masud presented β€œAnsible Automation Platform 2.7 and Beyond” β€” and the showstopper was a live demo of OpenClaw orchestrating fully autonomous CVE remediation through the Ansible Automation Platform.

This is not future-state. This is running today. An AI agent detecting vulnerabilities, creating ITSM tickets, validating policies, executing patching playbooks, and filing compliance reports β€” all without human intervention.

Red Hat TechTalks - AAP 2.7 and beyond with Fred van Zuiden and Ismail Masud

The Agentic Automation Workflow

The demo showed a complete 5-step autonomous remediation pipeline:

OpenClaw agentic CVE remediation workflow - complete pipeline

Step 1: OpenClaw Request

  • Source: OpenClaw agent (running in OpenShift Pod)
  • CVE: CVE-2026-31337 (CVSS 9.8 β€” Critical)
  • Impact: 4 production servers affected

The OpenClaw agent detects the vulnerability, validates it against the CVE database, and initiates the remediation workflow.

Step 2: Create ITSM Ticket

  • Integration: ServiceNow
  • Type: Change Request
  • Priority: Critical
  • Ticket: CHG0012847
  • Maintenance window: 03:00–05:00 EST
  • Actions: App owners notified via PagerDuty, 4 servers attached to change record

Step 3: Policy Review

  • Engine: OPA / Policy Engine
  • Mode: Automated
  • Checks performed:
    • ITSM ticket validated βœ“
    • Maintenance window confirmed βœ“
    • Playbook is pre-approved for CVE class βœ“
    • Rollback plan present βœ“
    • Policy check PASSED β€” proceeding βœ“

Step 4: Patch and Reboot

  • Playbook: patch_and_reboot.yml
  • Strategy: Rolling (1 at a time)
  • Actions:
    • Monitoring silenced for maintenance βœ“
    • prod-web-01 patched and rebooted βœ“
    • prod-web-02 patched and rebooted βœ“
    • prod-api-01 patched and rebooted βœ“
    • prod-db-01 drained, patched and rebooted βœ“
    • Health checks passed on all servers βœ“
    • Monitoring restored βœ“

Step 5: Close and Notify

  • ITSM: Close CHG0012847
  • Notify: App owners, SRE lead
  • Actions:
    • ITSM ticket closed βœ“
    • App owners notified β€” all clear βœ“
    • CMDB records updated βœ“
    • Compliance report filed βœ“

OpenClaw workflow in progress - first steps

The OpenClaw Control Panel

The live demo showed OpenClaw’s control interface with:

  • Agent name: sre-sally
  • Model: Claude Sonnet 4.6 (litellm)
  • Session: heartbeat
  • Sidebar sections: Chat, Control (Overview, Channels, Instances, Sessions, Usage, Cron Jobs), Agent (Agents, Skills, Nodes), Settings (Config, Communications, Appearance, Automation, Infrastructure, AI & Agents), Docs

OpenClaw Control Panel - sre-sally agent

Agent Interaction

The agent communicates naturally:

β€œOn it. Let me check the AAP MCP server for the right job to run. Let me handle this directly.”

Tool calls visible in the chat:

  • memory_search
  • runtime_search
  • runtime_exec

OpenClaw agent using MCP tools

Change Management Results

After the playbook completed, the Change Management record showed:

  • Change Record: CHG9679226
  • Type: Standard
  • Priority: 3
  • Assignment Group: Linux Operations
  • State: βœ… Closed β€” Successful

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