In hybrid and distributed environments, secure and stable network performance is not just a requirement—it’s a design challenge. Over 35 years in the field, we’ve seen how things go wrong. The question is how quickly and intelligently you respond when you detect it.

In this session, we’ll walk through real-world scenarios from decades of hands-on experience managing global networks and key SASE solutions like ZTNA and SWG. We’ll show how Managed SASE architectures—combining AI-driven monitoring with deep operational expertise and the human-in-the-loop approach—can detect anomalies early, reroute traffic automatically, and maintain security enforcement even under stress.

We'll also cover how human intelligence (HI) complements automation, especially in edge cases where systems need context, prioritization, or a creative workaround. You’ll leave with a practical understanding of how AI and engineering expertise come together to build secure networks that not only recover, but continuously adapt and improve.