Ep # 29: How to Manage IoT Security in Private Networks - with Jimmy Jones, ZARIOT
12/21/21 • 36 min
IoT is a lynchpin to digitizing smart manufacturing, smart cities, and many other industrial enterprises. However, its adoption is often plagued by security concerns. The 5G enhancements that support 1 million devices per square kilometer also increase the attack surface for cybercriminals. An entire business network can be compromised due to vulnerabilities in a connected surveillance camera or even smart bulbs. Though private LTE and 5G networks are theoretically designed for highly secure and controlled network access, are they ready to safely handle the massive influx of connections? Let’s find out!
Our guest for todays’ podcast is Jimmy Jones, the Head of Security for ZARIOT. I have had the privilege of working with Jimmy at many companies, and he is undoubtedly one of the brightest technical minds I have come across with sales acumen. He has held many positions in the tech world, from engineer to sales to business development lead at several companies such as WorldCom, PCI, Positive Technologies, Ribbon Communications, and NexTone.
In our discussion today, we will uncover a few things, such as:
What IoT security gaps enterprises should watch for?
How does the use of private networks help secure the IoT?
What were some of the security learnings from the initial stages of IoT deployment that will influence its prospects in the private 5G implementations? and
What are the biggest challenges companies face when using a private network with IoT connections?
So, let us welcome Jimmy Jones.
Contact PrivateLTEand5G
- Follow us on LinkedIn at https://www.linkedin.com/company/privatelteand5g
- Tweet at https://twitter.com/privateLTEand5G
- For more resources on Private Cellular Networks, go to https://www.privatelteand5g.com/
- Email us at [email protected]
IoT is a lynchpin to digitizing smart manufacturing, smart cities, and many other industrial enterprises. However, its adoption is often plagued by security concerns. The 5G enhancements that support 1 million devices per square kilometer also increase the attack surface for cybercriminals. An entire business network can be compromised due to vulnerabilities in a connected surveillance camera or even smart bulbs. Though private LTE and 5G networks are theoretically designed for highly secure and controlled network access, are they ready to safely handle the massive influx of connections? Let’s find out!
Our guest for todays’ podcast is Jimmy Jones, the Head of Security for ZARIOT. I have had the privilege of working with Jimmy at many companies, and he is undoubtedly one of the brightest technical minds I have come across with sales acumen. He has held many positions in the tech world, from engineer to sales to business development lead at several companies such as WorldCom, PCI, Positive Technologies, Ribbon Communications, and NexTone.
In our discussion today, we will uncover a few things, such as:
What IoT security gaps enterprises should watch for?
How does the use of private networks help secure the IoT?
What were some of the security learnings from the initial stages of IoT deployment that will influence its prospects in the private 5G implementations? and
What are the biggest challenges companies face when using a private network with IoT connections?
So, let us welcome Jimmy Jones.
Contact PrivateLTEand5G
- Follow us on LinkedIn at https://www.linkedin.com/company/privatelteand5g
- Tweet at https://twitter.com/privateLTEand5G
- For more resources on Private Cellular Networks, go to https://www.privatelteand5g.com/
- Email us at [email protected]
Previous Episode
Ep # 28: Is Distributed Edge the Catalyst for Private 5G Innovation? - with Michael Recchia, Red Hat
The edge has become the playground for some of the most innovative technology companies launching specialized private 5G applications. Advancements like Open RAN, programmable networks, intent-based network slicing, and AI-driven automation are promising new level of efficiencies in processing humongous data volumes with ultra-low latencies at the distributed network edge. However, the industry continues to struggle on a common understanding of the necessary steps required to make multi-access edge a reality for enterprise applications. So, what are the gaps and challenges and what do we need to do about it? Let’s find out!
Our guest for the podcast is Michael Recchia, Global Telco Solutions Architect at Red Hat. With decades of experience working at AT&T and Verizon, he is an expert with hands-on experience in strategy, architecture, design, and testing of programmable network deployment with cloud-native edge solutions in the Open RAN environment.
In our discussion today, we will uncover a few things:
The challenges in materializing the vision of distributed intelligent edge.
- Different flavors of edge-cloud and which one should enterprises care about the most?
- What’s the relationship and dependencies between edge-cloud and private 5G?
- And most importantly, the steps enterprises, operators, and vendors need to take to make the distributed edge a reality
So, without further ado, let us welcome Michael Recchia.
Contact PrivateLTEand5G
- Follow us on LinkedIn at https://www.linkedin.com/company/privatelteand5g
- Tweet at https://twitter.com/privateLTEand5G
- For more resources on Private Cellular Networks, go to https://www.privatelteand5g.com/
- Email us at [email protected]
Next Episode
Ep # 30: The Practical Approach to Embracing Autonomous 5G Networks - with Aaron Boasman-Patel, TM Forum
AI Ops is a natural fit in the 5G era with software-defined networks that are increasingly programmable. Human supervision of 5G networks is a bit like trying to hop onto an electric train after it has left the station. AI-assisted automation is the holy grail for network managers rattled by a catastrophe precipitated by human errors. While early trials of AI Ops in private and public 5G networks are promising, data capture in network labyrinths is forbidding due to many silos, emergent data standards, and insufficient data to train AI models. How are telcos and enterprise CIOs balancing the risk and benefits of autonomous networks steered by AI? Let’s find out!
Our guest for the podcast is Aaron Boasman-Patel, Vice President of AI & Customer Experience at TM Forum. He is responsible for defining and executing the strategic vision for all AI, manages the cross-ecosystem collaboration projects, and helps to set industry standards.
In our discussion today, we will uncover a few things, such as:
What are the early lessons from experimenting with autonomous networks?
What are the challenges of setting data standards for AI Operations and automation?
How does AI Ops benefit private 5G deployments? and
How do CIOs prepare for autonomous networks and avoid errors without a way to learn from past mistakes?
So, let us welcome Aaron Boasman-Patel.
Contact PrivateLTEand5G
- Follow us on LinkedIn at https://www.linkedin.com/company/privatelteand5g
- Tweet at https://twitter.com/privateLTEand5G
- For more resources on Private Cellular Networks, go to https://www.privatelteand5g.com/
- Email us at [email protected]
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