WTF My MFA is MIA

How do authorization systems need to be built and made resilient for distributed infrastructure? We discuss how having a single centralized authorization system is incredibly fragile compared to distributed edge infrastructure.

Everything we build has some element of distributed component tree and resiliency in it, and we need to make sure that the authorization systems are included in that analysis.

We explored how you can make MFA more resilient and how you can improve the security of authentication by building additional layers of trust based on behaviors.

Transcript: otter.ai/u/KTg3WSqSKuswLIypoBwD4HyMzcA
Image: www.pexels.com/photo/hand-holdin…sh-drive-5474298/

Rob’s Hot Take:

In the April 28th Cloud 2030 Podcast, Rob Hirschfeld delves into the challenges of implementing two-factor authentication (2FA) in distributed infrastructures with centralized authentication. The critical problem revolves around creating resilient systems that don’t solely rely on external factors for authentication, considering the potential impact on every service and component in the infrastructure. The discussion emphasizes the importance of behavioral analysis in authentication, scrutinizing user behavior to ensure trustworthiness, especially in scenarios where full authentication is not available. The full conversation explores these aspects in depth, providing valuable insights for building resilient infrastructure. Join future discussions at the2030.cloud.

Is AI the Future of Conferences?

What was working what wasn’t working with conferences. But in traditional Cloud2030 style, we dove into the future, what would make great conferences, what makes conferences good, what made them good in the past and what technology changes we think could be coming in the future.

We extended that from conferences into meetings and meeting technology and transcription in the second half of this podcast. We really dive into how to help people connect together better since that’s what conferences are about, too.

Then we extended it more broadly, and brought up some interesting things like sentiment analysis, and adding new dimensions into the types of tools that we’re using today.

Transcript: otter.ai/u/k5RptA109SprrofV5QeEPHVg6yU
Photo by Belle Co from Pexels [ID 1000445]

Rob’s Hot Take:

Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, reflects on the September 30th discussion regarding human interactions at conferences and meetings using new technologies. He highlights the shift towards improved communication through visual mediums like Zoom and Teams, emphasizing the potential for future technologies to enhance these interactions further. Hirschfeld encourages listeners to explore the comprehensive discussion at the2030.cloud, which delves into the possibilities and challenges of advancing video interaction technologies.

Simon Crosby on Revolutionary Architecture Requirements for Edge

Joining us this week is Simon Crosby, CTO at SWIM.AI. Simon discusses the architecture for Edge and its differences from existing cloud infrastructure and how the SWIM.AI solution meets the needs for Edge services.

Highlights
• Challenges in Edge
• Data is Complete Disruption in Current Models
• Don’t Train in Cloud for Edge; Instead Learn on Fly
• All About Data – Apps can’t be Written for Data Specifically
• Example of Sensor Model at Traffic Light in Self-Learning Model
• Digital Twin Concept & Actor Model
• SWIM.AI Innovation ~ always as though its local
• Independent Management of Latency and Resource Utilization
• Write the Program from the Data
• Example of Manufacturer with Millions of RFID Tags
• Limitations of Having People Involved in Everything