Last week I was debugging an issue where our AI agent kept losing its session mid-task. And it struck me: we are basically solving the same problem enterprise IT teams solved 15 years back with SSO and IAM. The only difference is that this time the “user” logging in is not a human—it’s a piece of software making decisions on its own.
Most teams building AI agents right now are treating auth as an afterthought. An API key hardcoded somewhere, one service account shared across ten agents, nobody knowing which agent did what action. I have seen this pattern more than once now, and honestly, it is a disaster waiting to happen.
So let’s talk about what enterprise identity already figured out, and how we can borrow it.
1. Every identity, human or not, needs its own credential
In the enterprise world, we don’t let two employees share one login. The audit trail becomes useless, accountability goes out the window, basically. The same logic applies to agents. If Agent A and Agent B are sharing one API key, and something goes wrong, how will you even trace back which agent did the damage? Each agent should get its own machine identity, full stop.
