Podcast Banner

Podcasts

Paul, Weiss Waking Up With AI

Do You Know Where Your Agent Is? Credentials, Permissions, and Accountability for AI Agents

In this episode, Katherine Forrest and Scott Caravello discuss how to manage identity and access for AI agents that act on behalf of people and businesses. Drawing on insights from IBM’s TechXchange conference, they explore different approaches, from unique agent identities and task-specific credentials to signed audit trails, and what they mean for accountability when agents take action.

For the sources referenced in this episode, please see the links below:

IBM: TechXchange 2026: Practitioners tackle AI, security and data challenges

PingIdentity: Identity Trends for 2026 & Beyond

Stream here or subscribe on your
preferred podcast app:

Episode Transcript

Katherine Forrest: Well, hello and welcome back to Paul, Weiss Waking Up With AI. I'm Katherine Forrest.

Scott Caravello: And I'm Scott Caravello. Katherine, how was London?

Katherine Forrest: Oh, you know, I was actually going to say I'm Katherine Forrest, newly back from London.

Scott Caravello: I'm sorry I scooped you.

Katherine Forrest: I didn't. You scooped me. So London actually is very different than I had thought. I've spent a lot of time in England, and my sister has lived over there for like 35 years, and, you know, I've got two nieces and a nephew who live over there—yadda, yadda, yadda, yadda, yadda. But I haven’t spent a lot of time in London proper, except for a few business trips, you know, like 15 business trips where you sort of go for a day. But this was a trip of like London theater for a very, very dear friend's birthday. And so my wife and I went over with her to see London theater, and they went to eight shows in six days. OK, just dig that, right? Dig that. And I went to two, just to give… As You Like It and Into the Woods, which I thoroughly enjoyed. But they also saw Middlemarch, which was apparently phenomenal, from the RSC, and a whole bunch of other things. I won't even go through all of it. So, London was fantastic. I worked a lot, but it was fantastic. And how was your last week? I don't want to not ask you about your week, Scott.

Scott Caravello: Oh, it was fine. It was fine, you know, just the normal stuff. All good. Thank you for asking.

Katherine Forrest: All right, all right. So today we're going to be talking about a topic that I had gotten very excited about. And I know that maybe at first you thought it was a little bit dry, but–

Scott Caravello: Oh, no.

Katherine Forrest: No? You're looking at me like, what are you saying?

Scott Caravello: I think this is the coolest. I'm not going to give it away.

Katherine Forrest: Oh, you do? Ok, good.

Scott Caravello: Oh, yeah. Yeah, yeah, yeah.

Katherine Forrest: Oh, good. OK. Because I wasn't sure when I originally mentioned it, because it has to do with security and identity for AI agents. All right, AI agents are all over the news these days. And the different kinds of things that AI agents can do and what they should do and what they shouldn't do and what they are doing and what they aren't doing. And, you know, IBM held a big developer conference, as it does, called TechXchange, or Tech Exchange, which is T-E-C-H-X-C-H-A-N-G-E, which is, it happens every year in Atlanta. And this whole idea of AI agents and identity came up in session after session. So we're going to talk a bit about the observations that came through in the write-up of the conference, which IBM actually put out. They put out a paper on this, as well as our views from some of the other players in the space. And there was one line which we hear a lot, and it's true, but it's a good way to frame our conversation about this, which is, you know, you can't blame AI for something that is going wrong. You have to find another place, these days at least, to place the blame. So figuring out how you can come up with both security that will ensure that the AI agents are doing what they should be doing and not doing something they shouldn't be doing. And then identifying the agents and who they belong to and who they've been permissioned by. These are critical things so that you can find where responsibility might lie. And not just responsibility, but where you might go for answers to any number of questions that you might have if an AI agent has been interacting with you.