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, Matthias Reinwarth sits down with Jonathan Care, KuppingerCole Analysts' newly appointed Director of Practice AI, to unpack the findings and ask what they mean for enterprise security, identity management, and the CISOs trying to govern it all.

Key Topics:

✅ Anthropic's multi-agent experiment: three Claude instances, one codebase, unexpected outcomes
✅ Why coordination does not emerge naturally from intelligence — in agents or in humans
✅ The anthropomorphism trap: why comparing agents to dogs, kids, and wizards is useful but dangerous
✅ Social pressure, mechanisms, and the open research problem of agent cooperation
✅ Risk tolerance as a prerequisite for any agentic architecture — and how to define it
✅ Why correlated agents without coordination break your redundancy and business continuity assumptions

🤖 "If agents are highly correlated but lack coordination, redundancy does not provide the risk diversification we would expect." Jonathan Care on why multi-agent systems are a different beast and why CISOs need to treat them that way.

📅 Join KuppingerCole Analysts at the AIdentity & NHI Impact Day on October 6th in Munich where many of the open questions raised in this episode will be on the agenda

Rss Apple Podcaster
Podden och tillhörande omslagsbild på den här sidan tillhör KuppingerCole Analysts. Innehållet i podden är skapat av KuppingerCole Analysts och inte av, eller tillsammans med, Poddtoppen.