Mr. Ashish Anand

Self-Healing Network Infrastructure Using AI-Based Intent Recognition

Abstract:

Network infrastructures that can be relied upon 24 x 7 are the backbone of any modern digital enterprise, business continuity, user experience, and cybersecurity. However, network management has become more complex as IT architectures spread across hybrid clouds, edge computing, and Internet of Things (IoT) endpoints and with demands to maintain real-time responsiveness. Downtime not only affects productivity, it also leads to substantial financial and reputational damage. As enterprise networks have matured, their complexity has increased to the extent that human intervention, troubleshooting, and recovery are no longer viable. Monitoring solutions may generate alerts but network experts are required to diagnose the problem and drive the resolution. Even with ML/AI-driven analyses and solutions, network remediation is still driven by the operator, resulting in relatively high time to recovery (MTTR). Network intent has already emerged as a common basis for managing networks automatically, but there remains a significant gap between this high-level intent and the low-level corrective actions taken. Self-healing network infrastructures are next-generation autonomous networks that use AI-based intent recognition to not only detect failures but also predict disruptions before they impact the business and pre-emptively remediate the issue without any human intervention.

Profile:

Ashish Anand (Senior Member, IEEE) is a technology leader and researcher specializing in network automation, artificial intelligence, and cybersecurity. His work focuses on transforming traditional network infrastructures into software-defined, Infrastructure-as-Code (IaC) platforms. His expertise includes SD-WAN, SASE/SSE, cloud networking, and hybrid data center architectures.

His research interests include AI-driven network automation, neuro-symbolic reasoning, and secure software-defined architectures. He has contributed to the development of intelligent, adaptive, and secure network systems, advancing the fields of AI-enabled network management and automated cybersecurity solutions.

Mr. Anand is a Fellow of the Institution of Electronics and Telecommunication Engineers (IETE) and a member of the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery (ACM). He serves as a judge and mentor for global technology awards and innovation programs and holds multiple industry certifications.