Neuromorphic Computing: From Medical Devices to Network Defense

Straight out of Terminator, learning computers are here. They are great at pattern recognition and anomaly detection and extremely energy efficient. Making them great for edge AI. Let's look at how they can improve enterprise network defense.

Neuromorphic Computing: From Medical Devices to Network Defense

https://luma.com/1tq440j3?utm_source=embed
Neuromorphic computing, or NMC, is an emerging computer architecture designed to function more like a biological brain than a traditional CPU or GPU. Instead of processing everything in fixed clock cycles, neuromorphic systems use event driven spiking neural networks that activate only when meaningful change occurs.

This architectural shift matters.

In this talk, I will explain what neuromorphic computing is, why its low power consumption and ultra low latency characteristics are important, and how medical research has helped move the field forward. From there, we will explore how NMC enables true AI at the edge, allowing devices to analyze data locally and in real time without constant cloud dependence.

We will also look at research and platforms across the ecosystem, including IBM TrueNorth, Intel Loihi, SpiNNaker, and newer commercial efforts. The goal is not to promote vendors but to understand the broader shift in computing architecture they represent.

Finally, we will connect neuromorphic computing to practical cybersecurity and physical security use cases such as network anomaly detection, OT and critical infrastructure monitoring, behavioral threat detection, and real time sensor analysis.

Cybersecurity has traditionally been reactive. Neuromorphic computing introduces a model that is adaptive, distributed, and biologically inspired.

This session is a grounded look at where the technology stands today and why security professionals should start paying attention.

ISSA SD February 26