The way software interacts is changing. AI agents call MCP servers. Applications orchestrate agents. Agents talk to other agents. The number of machine-to-machine interactions is growing faster than human-to-machine ones.
Yet most security infrastructure was designed for a simpler world: one where a human user authenticates once, gets a session token, and accesses resources. Traditional Identity and Access Management (IAM) systems like Okta and Auth0 excel at this. But they were never designed for the patterns we see in modern AI infrastructure.
The problem with identity-centric security
Traditional IAM focuses on identities. You have a user. You assign them permissions. They access resources. The security boundary is the identity itself.
This breaks down when your "users" are AI agents making thousands of requests per minute, when those agents chain through multiple services, and when the content of each request matters as much as who sent it.
Consider a typical AI application: a web app connects to an MCP server, which calls an agent, which accesses a database tool. In a traditional IAM model, you would manage permissions on each resource independently. But what about the relationship between the app and the agent? What about controlling what the agent can actually say to the MCP server?
Connection-centric security
Praesidia takes a fundamentally different approach. Instead of securing individual entities, we secure the connections between them.
Every interaction in your AI stack passes through a defined connection. Each connection has two types of controls:
- Guardrails: Content-level controls that define what can be requested and returned. Think of these as semantic boundaries on the communication itself.
- Policies: Operational controls like rate limits, geographic restrictions, time-based access windows, and volume caps.
Both are applied bidirectionally. You can control what an application sends to an agent and what the agent sends back. This is not just authentication, it is full-spectrum governance of every interaction.
Why bidirectional matters
Most security tools focus on inbound requests: who is allowed to call this API? But in AI infrastructure, outbound responses are equally critical.
An MCP server might receive a perfectly valid request but return data that should not leave the system. An agent might be authorized to call a tool but produce a response that violates content policies. Without bidirectional controls, you only see half the picture.
The three entity types
Praesidia treats applications, MCP servers, and agents as first-class citizens:
- Applications register and receive credentials. They define which other entities they can connect to and what controls govern those connections.
- MCP servers get a full authentication and authorization layer. No need to build your own auth middleware.
- Agents can be external services or built and hosted directly on the platform.
Each entity type has the same security primitives: credentials, connections, guardrails, and policies. There is no second-class citizen in the stack.
Getting started
If you are building AI applications that involve MCP servers, agents, or multi-service orchestration, the security of those interactions should not be an afterthought.
Praesidia is free during beta. Sign up, register your first entity, create a connection, and have authenticated AI interactions running in minutes.