AI-Driven Transformation: Best Practices in Legacy Network Security Policy Management

Spring 2024

In an era where digital transformation is paramount, many organizations find themselves entangled in the complexity of managing legacy network security policies, hindering their ability to adapt and thrive. The “AI-Driven Transformation: Best Practices in Legacy Network Security Policy Management” panel at the AI Networking Summit during ONUG Spring and Fall 2024 conferences is designed to address this critical challenge. Our expert panel will delve into how AI and machine learning can be leveraged to streamline and enhance legacy network security policy management, significantly reducing technical debt and fostering a more agile, secure infrastructure. Attendees will gain insights into innovative strategies, practical tools, and real-world examples of AI-driven transformations in enterprise network security.


Craig Matsumoto is a senior research analyst in the 451 Research technology research group within S&P Global Market Intelligence. He covers distributed edge infrastructure, networking and interconnection for the Datacenter Services and Infrastructure channel.

In the networking sphere, Craig’s current research focuses on cloud-native networking services, including multicloud connectivity. He also covers distributed edge clouds, such as content delivery networks, and tracks issues related to distributed data and on-demand infrastructure management.

Prior to this role, Craig spent more than 20 years in technology journalism. As a lead editor at Light Reading, SDxCentral and EE Times, he followed the evolution of software-defined networking and its relationship to the then-emerging worlds of cloud computing and containerization. His past coverage has also included semiconductors, including semiconductor manufacturing, and telecom optical networking.

Craig holds a Bachelor of Science degree in engineering mathematics from the University of California, Berkeley.

Related events