Aug 24, 2026 · 37 min · 10 segments
What happens when you put three AI agents in a room and tell them to solve the same problem? Anthropic ran the experiment — and the results are more unsettling than you'd expect. In this episode…
Jonathan CareGuest
Matthias ReinwarthHost
And I think that in terms of the clients that we serve, we know that our end user CISOs are asking for some insight into what's actually happening and seeing if we can pierce through the hype that we have.
And I think also we're seeing the vendors who are saying, well, What are these stories? How does this affect our product strategy? How does it affect where we're going with our products in the cybersecurity space, in the identity space, and indeed in the AI security and identity space as well? And I think that is one reason why these events, while we don't want to necessarily turn this into a news show, what the current events in this fast-moving industry sector do inform the advice we give to our clients.
And one evolution that we see within our clients, the tendency, the trend to move to deploying more than one agent instead of just one agent doing the job together to improve their performance.
To create not only redundancy, but to create more efficiency, to have agents collaborate, et cetera, et cetera.
But the starting point for our discussion today is some research that has just begun.
come out of Anthropic and they came up with a document that looks exactly at that.
They have been experimenting with what happens when multiple AI agents work on the same problem.
The more I read into that and the more I analyzed what that means for us in our work, That is really, really interesting.
But if you give a brief insight, what is this document about? We will have, of course, the URL or the original research in the show notes.
And I think that in terms of the clients that we serve, we know that our end user CISOs are asking for some insight into what's actually happening and seeing if we can pierce through the hype that we have.
And I think also we're seeing the vendors who are saying, well, What are these stories? How does this affect our product strategy? How does it affect where we're going with our products in the cybersecurity space, in the identity space, and indeed in the AI security and identity space as well? And I think that is one reason why these events, while we don't want to necessarily turn this into a news show, what the current events in this fast-moving industry sector do inform the advice we give to our clients.
And one evolution that we see within our clients, the tendency, the trend to move to deploying more than one agent instead of just one agent doing the job together to improve their performance.
To create not only redundancy, but to create more efficiency, to have agents collaborate, et cetera, et cetera.
But the starting point for our discussion today is some research that has just begun.
come out of Anthropic and they came up with a document that looks exactly at that.
They have been experimenting with what happens when multiple AI agents work on the same problem.
The more I read into that and the more I analyzed what that means for us in our work, That is really, really interesting.
But if you give a brief insight, what is this document about? We will have, of course, the URL or the original research in the show notes.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.
