Navigating Trust and Security in the Age of AI-Driven Networks
episode
The Fast Mode Podcasts: Breaking News, Analysis and Updates From Telecoms Industry
24 min
1 speaker
8 chapters
transcribed 1 month ago
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Why do 88% of people ignore calls from unknown numbers and how can verified identity restore trust?
Over eighty-eight percent of individuals that are receiving phone calls with no identity, you know, they're they're not answering.
They just don't trust it enough. It'll be rooted in in a trust model. And trust is what the current internet does not have and what we need to get to. And I think that's the name of the game.
Welcome to the FastMode Studios. I'm Tara Neal, and with me today is Pascal Menezes, Chief Technology Officer of Amplify, and Mick Moss, Senior Director of Product Management at TransUnion. Amplify is a global alliance of network, cloud, cybersecurity, and enterprise organizations working together to accelerate the AI-powered digital economy. And TransUnion is a global information and insights company that makes trust possible in the modern economy. Pascal and Mick join us today to discuss trust and security in AI-driven networks. Welcome guys. Great to have you both on today's episode.
Thank you, Tara. Yeah, nice. Thank you for having us.
Awesome. Okay, so um, you know, we have uh qu a few questions uh that we'll be discussing and um I think the first one would be for Pascal. Um, you know, so uh what are the key challenges um do you see in trust and security for AI driven networks as they evolve?
You know, Tara, this is a really great question because we're right in the midst of gonna be challenged with a lot of errors in cybersecurity and trust is being part of that. So let's just start with what's going on. We've gone from, you know, generative AI, which was really huge last year or year before, and now we're going into basically, you know, full agentic AI. And we're gonna have billions and billions of agents, you know, collaborating together, working in swarms together and doing all kinds of fully autonomous They can reason, they can do many things that human beings can do and have the intelligence working with models. So the first thing you get into is how do you trust these agents? So as you know, identity plays a very critical role.
So identity will be the first thing that will happen. And then from identity, what are the credentials assigned to those agents? And then. And then further you'll have authorization. What can the what can these agents do? Mm-hmm.
What are the biggest security challenges introduced by the shift to agentic AI?
And then finally that's all part of the zero trust architecture that we've been seeing, zero trust networks, zero trust infrastructures that have been coming out for the last few years. But then past that, you actually have to have the policies of the zero trust policies on what can be done done and d not done. And more importantly, you can have to have fingerprinting so you can look at every time they're doing anything, are they going off their guardrails? And finally the last part is auditing to have a full audit. you know, trail of everything the agents have done. So this whole infrastructure, this whole orchestrating of agents and be able to do all the things I talked about is really at forefront of what many, many identity systems that are now moving into this area of how they'll manage these agents from different autonomies, how they'll work together and yet have all the guardrails and have the security compliance in place.
So so that's just one aspect of agents and I'll stop And I'll let uh Mick talk about whatever he wants to say.
Mm-hmm. Yes, I guess, you know, uh that that's a very interesting point that you know you brought up about the trends that we have right now from it was just plain old traditional AI, then it went to uh Gen AI and now Agentic AI and the kind of uh security concerns that that uh that Agentic AI comes with and you've uh rightly pointed out the sheer number of agents that will be taking a lot of decisions on our behalf. And I guess you know you you you might have enough risk um uh mitigation controls and stuff like that. So yes, Mick, you know, um I think uh you know we touched a l uh Pascal touched a little about identities. So that's your area. So maybe, you know, you wanna talk about uh you know how identity management works and uh you know what are the solutions that we have in this space.
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Chapters
8 chapters
1
Why do 88% of people ignore calls from unknown numbers and how can verified identity restore trust?
0:00–2:36
2
What are the biggest security challenges introduced by the shift to agentic AI?
2:36–5:50
3
How does zero‑trust architecture protect billions of autonomous AI agents?
5:50–9:02
4
What role do identity, credentials, and authorization play in AI‑driven networks?
9:02–12:29
5
How do industry standards like STIR/SHAKEN and Camara APIs enable trusted voice calls?
12:29–15:12
6
What solutions does TransUnion offer to authenticate enterprises and block spoofed calls?
15:12–18:08
7
How will secure‑access service edge (SASE) and AI‑focused certifications shape future security?
18:08–21:08
8
Why are global standards and collaborative APIs essential for a safe AI‑powered digital economy?
21:08–23:53
Speakers
1 identifiedMore from The Fast Mode Podcasts: Breaking News, Analysis and Updates From Telecoms Industry
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