From Reactive to Autonomous: A New Model for Endpoint Resilience

Enterprise IT teams are being asked to do more with less as device fleets expand across hybrid work environments, security pressure increases, and expectations grow for always‑on employee productivity. In this environment, resilience isn’t only about preventing incidents—it’s about being prepared for them. From moments like “Blue Friday,” when large‑scale issues can ripple quickly across the business, to day‑to‑day patching and maintenance, IT teams must keep endpoints healthy, secure, and recoverable while minimizing disruption to end users. That includes maintaining patch compliance, improving incident response readiness, and being smarter about when and how changes occur—such as scheduling updates and remediation during idle periods.

At the same time, AI is beginning to reshape enterprise behavior and expectations around IT operations, driving interest in more predictive, autonomous, and efficient approaches. Organizations are placing greater emphasis on proactive visibility and control across the device lifecycle, including the ability to troubleshoot, manage, and recover systems even when devices are offline or unresponsive. As teams move away from purely reactive workflows, they are exploring approaches that combine chip‑to‑cloud style diagnostics, out‑of‑band management capabilities, and power‑ and performance‑conscious endpoint agents to strengthen incident response, reduce downtime, and maintain productivity at scale.

Join Intel, Ivanti and a select group of peers for a candid roundtable on modern endpoint resilience—how to prepare for large‑scale disruptions and everyday incidents alike, strengthen incident response, and keep employees productive. We’ll discuss practical approaches for improving patch compliance with less disruption, enabling troubleshooting and recovery even when devices are offline or unresponsive, and shifting from reactive workflows toward more autonomous, efficient operations as AI changes enterprise expectations.