Bruno Hareng


Bruno Hareng
Aruba EMEA Product Manager

Bruno Hareng focuses on Software Defined Networking and Network Security solutions. In that role, he acts as a subject matter expert and evangelist.

Bruno is a regular Lecturer at Grenoble Alpes University (MASTER CYBER DEFENSE), University of Savoie (MASTER TELECOM), Lancaster University in the UK. He did also Lecture at Napier university Edinburgh, EPITA (PARIS) and PARIS Sud Telecom.

His HP career began in 1991 as a research and development engineer for the worldwide PC division. After managing various successful projects in networking and OpenGL graphics, he joined the Kayak marketing team as worldwide product manager for the high-end PC workstation range. 

After a couple of years as founder of a startup in the early 2000’s, Bruno joined HP ProCurve in 2004 (now Aruba), as the wireless, security and network management Product manager for EMEA.

Bruno graduated from the ENSIMAG engineering school of Grenoble with an MSc degree in computer sciences and applied mathematics. In addition, Bruno has a degree from the International Marketing Program at INSEAD, Fontainebleau, France.


The Rise of Machine Learning Makes Our Networks Smarter and Safer, including live demo.

Artificial Intelligence from the edge to the data center. And back.
The Rise of Machine Learning Makes Our Networks Smarter and Safer, including live demo.

Every CISO needs to vigilantly guard against the growth and sophistication of external cyber-threats, but the biggest cyber-risk may be what is sneaking within their own network. Negligent employees, malicious insiders, and compromised users and hosts often have the benefit of legitimate credentials to exploit weaknesses in traditional security infrastructure.

Traditional perimeter defenses give free rein to those credentials. But to determine if those “users” are part of an attack, enterprises really need to focus security on the behavior of who or what is using authorized credentials.

What’s needed is a big data analytics platform that leverages machine learning to spot anomalies and connect the dots, weeding out false positives to determine what might be a real problem. This is exactly what Aruba IntroSpect does.

Bruno Hareng
Presented by Bruno Hareng