How to Design an Identity and Authorization Architecture for AI Agents
Your AI agent has permission to access your systems. But how does another business tell the difference between your authorized agent and an imposter pretending to act on your behalf?
And how do you stop your agent from doing something it was never authorized to do?
As companies deploy AI agents to make purchases, access data, and interact with external systems, they're running into problems that traditional authentication and authorization weren't designed to solve.
AI agents need their own identities, clearly defined permissions, and a way to prove their authority to systems outside your organization.
But how do you actually build that?
On November 19, join Dock Labs' Richard Esplin (Head of Product), Agne Caunt (Product Owner), and Mike Parkhill (Head of Engineering) for a practical walkthrough of how to design an identity and authorization architecture for AI agents.
You'll learn how to:
- Identify and authenticate AI agents without giving them usernames and passwords.
- Prove an agent has authority to act on behalf of a person or organization.
- Let external businesses verify that authority without having to blindly trust the agent or the organization operating it.
- Control exactly what agents can do, including permitted actions, spending limits, and other restrictions.
- Revoke permissions and track agent activity so you maintain control over what agents are allowed to do.
- Choose the right architecture for your use case, including the key technical decisions, trade-offs, and integration options.
This isn't another discussion about why AI agent security matters. It's a practical session on how to actually build it using tools available today.
📅 Don’t Miss Out
November 19th at 9 am California | 5 pm London
Location: Online
