Enterprise AI's real risk isn't autonomous agents. It's the complexity between them.

https://images.ctfassets.net/jdtwqhzvc2n1/5ScHW6mZ2rQr3EvsxrwooK/43df8725b6e12cd4bcf550bb7b3b1cb4/Gravitee_hero.jpg?w=800&q=75

Presented by Gravitee


Agent complexity is the insidious shadow lurking inside enterprises right now that needs a light shone on it.

That’s because enterprises don't deploy a single agent and watch it run, they deploy fleets, each one calling APIs, calling other agents, reaching into applications that were never built with a machine decision-maker in mind. That's the failure mode that should keep you up at night: a windy, complicated system nobody can see clearly enough to govern. But why do things get so opaque so quickly?

Add a second agent to a system, and you've added one connection. Add a tenth, and you haven't added ten connections, you've potentially added dozens, because now any agent might call any other, and each of those calls can trigger a call somewhere else. Complexity doesn't creep up with agent headcount. It compounds with the number of paths between agents, and nobody's job...

Copyright of this story solely belongs to venturebeat.com. To see the full text click HERE

Read more