In this 90-minute hands-on lab, you’ll automate end-to-end patching workflows in Tanium Cloud by pairing Tanium Patch with Ambient Agents — the system-level AI agents introduced in Tanium Atlas that continuously observe the endpoint environment and surface what matters before you ask. You’ll build Patch Lists for operating systems and third-party Managed Applications, scope them to computer groups, and configure Deployments inside maintenance windows, then let an Ambient Agent watch the patch surface and proactively flag — or kick off — closed-loop remediation when new CVEs or failed deployments demand attention. By the end of the session, you’ll have moved from reactive patch triage to proactive operational hygiene, applying Tanium and AI together to keep endpoints continuously current without the manual searching, clicking, and context-switching that defines traditional patch operations.

Pre-Req(s): Familiarity with Tanium (Tanium Cloud console and core workflows), Understanding of software and OS updates (patch lifecycle, CVEs, maintenance windows), Understanding of AI terminology (agents, models, prompts)

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