Understanding the Different Types of AI Agents

AI agents ai agent development business automation digital transformation ai identity management
M
Michael Chen

AI Integration Specialist & Solutions Architect

 
January 2, 2026 7 min read
Understanding the Different Types of AI Agents

TL;DR

This article explores the various categories of ai agents used in modern enterprise environments, covering everything from simple reflex agents to complex learning systems. We look at how these agents integrate into workflows, manage identity through iam, and drive business automation across departments like hr and finance. Readers will gain a clear roadmap for selecting the right agent architecture to scale their digital transformation efforts effectively.

Understanding the core sso protocols

Ever tried logging into ten different work apps on a Monday morning and immediately forgot your password for the third one? It's a total nightmare, which is why sso is a lifesaver for basically everyone.

SAML (Security Assertion Markup Language) is like that old reliable car that still runs perfectly. It uses xml to pass "assertions" between the identity provider and the app. Even though it's older, it's still the king for big corporate setups because it handles complex permissions so well.

On the other hand, OIDC (OpenID Connect) is the cool new kid on the block. It’s built on top of OAuth 2.0 and uses json, which makes it way lighter and easier for mobile apps to digest. According to this Microsoft Q&A discussion, you can even use it with Azure AD B2C to bridge different apps together.

  • saml is great for "legacy" enterprise stuff where security rules are super rigid.
  • oidc is the go-to for modern web and mobile apps because its basically just a layer on oauth.
  • xml vs json: SAML uses bulky xml, while oidc uses json tokens (JWTs) that are easier for devs to code with.

Diagram 1

Diagram 1: The SAML XML exchange flow showing how the Identity Provider sends an assertion to the Service Provider via the browser.

I've seen teams at places like alteryx use SAML to lock down their server environments, though they often struggle with setting up complex security models for different departments when they first start out. (Configure Alteryx Server Authentication) It really depends on what your stack looks like.

How the handshake actually works

Before we move on, you gotta understand how these tokens actually move around. In the SAML POST Binding, the identity provider (IdP) basically hands a signed XML package to your browser, which then "posts" it automatically to the app. It's like a digital wax seal. For OIDC, it usually uses the Authorization Code Flow. The app sends you to the IdP, you log in, and the IdP sends a "code" back to the app. Then, the app swaps that code for an ID token behind the scenes. This way, the actual token never sits in your browser history where someone could steal it.

Next up, we'll dive into how to keep your user list from becoming a total mess.

Setting up directory synchronization and scim

Ever had a coworker leave the company but they still have access to the internal dashboard for three days? It's a massive security hole and, honestly, a total pain for IT to manage manually.

This is where directory sync and scim (System for Cross-domain Identity Management) come into play. It basically automates the "boring" stuff. When you add a new hire in Okta or azure ad, scim tells your app to create that account instantly.

  • Auto-provisioning: No more manual invites. If a dev joins the team, they get access to the repo immediately.
  • Kill switch: The second someone is deactivated in the main directory, they lose access to every linked saas app. This is huge for compliance in sectors like finance or healthcare.
  • SSOJet Integration: Tools like SSOJet act as a managed abstraction layer for multiple identity providers. It standardizes scim and sso so you don't have to write custom api code for every single provider out there.

Diagram 2

Diagram 2: The SCIM provisioning lifecycle, showing how user identity changes sync from a central directory to various SaaS apps.

I've seen teams at places like alteryx struggle with setting up these security models for different departments, as previously discussed. Using scim keeps your user groups from becoming a messy "junk drawer" of old permissions.

Next, we're gonna look at how to actually handle those tricky logout flows so sessions don't hang around forever.

Handling the tricky logout flows (SLO)

One thing people always forget is Single Log-Out (SLO). It's way harder than logging in. If a user clicks "logout" in one app, should they be logged out of everything? Usually, the answer is yes for security, but it’s a technical nightmare to coordinate.

You have to manage session participants and send "logout requests" to every app the user touched. If one app fails to clear its cookies, the session stays alive. Most devs just ignore this until an auditor yells at them, but you should really plan your session timeouts and global logout redirects early on.

Next, we'll see how this all ties into the world of ai.

The role of ai integration in modern iam

So, you've got these shiny new ai agents running around your workflow, but how do you make sure they aren't seeing stuff they shouldn't? It's one thing to give a human access to your private data, but letting a bot loose is a whole different ball game.

Modern iam is shifting because these bots need to "act" like users. If an ai tool is pulling data from a retail database or a healthcare portal, it has to respect the same permissions that were set up via sso for the actual human employee.

  • Token Exchange: You don't want to just hand over a master api key. Instead, you pass the user's oidc token to the ai so it only sees what that specific person is allowed to see.
  • Permission Mapping: As mentioned earlier, keeping your groups organized is key. If a bot is helping a doctor in a hospital, it shouldn't be able to peek at the finance department's spreadsheets just because it's "the ai."
  • Audit Trails: Since things happen fast with automation, you need to log exactly which ai agent did what, and which user identity it was "borrowing" at the time.

Diagram 3

Diagram 3: An AI agent using a delegated OIDC token to access specific data resources on behalf of a user.

I've seen devs get lazy and use one giant "admin" key for their ai integrations, but that's a disaster waiting to happen. Using oidc to scope these bots is way safer.

Next, we're gonna wrap things up by looking at the actual steps to get this running.

Practical sso implementation steps for developers

Implementing sso isn't just about flipping a switch; it's more like trying to organize a massive party where everyone speaks a different language. Here is the general flow you should follow to avoid a total meltdown:

  1. Registration and Redirects: First, register your app with the IdP. One of the biggest headaches I see is with callback urls. If your redirect uri doesn't match exactly—down to the last slash—the whole handshake fails. People often forget that production and dev environments need totally separate entries in the idp.
  2. Configuration and Metadata: Set up your client IDs and secrets. If you're building a saas for different customers, you gotta handle dynamic metadata. Each client might have their own okta or azure setup, so your code needs to be flexible enough to swap those configs on the fly.
  3. Library Selection: Don't build your own parser: Seriously, don't write a saml parser from scratch. It's a recipe for xml external entity (XXE) attacks. Use a trusted library; your future self will thank you when you aren't patching a breach at 2 AM.
  4. Testing and Quirks: Watch out for Azure B2C quirks. As mentioned earlier in the microsoft discussion, some apps registered in b2c don't show up in the "enterprise applications" list. This confuses people constantly. You have to understand the difference between a service principal and an app registration before you start clicking buttons.

Diagram 4

Diagram 4: A step-by-step sequence of an app registration and the subsequent authentication redirect loop.

I've seen devs at places like alteryx spend days debugging saml just because a certificate expired. Always automate your metadata refreshes. Also, check out HCL Compass Blog for a deep dive on how they handle oidc with okta—it’s a great real-world example of getting these layers to actually talk to each other without breaking.

Basically, keep it simple. Use proven tools, watch your redirects, and don't try to be a hero with custom crypto code. Good luck out there.

M
Michael Chen

AI Integration Specialist & Solutions Architect

 

Michael has 10 years of experience in AI system integration and automation. He's an expert in connecting AI agents with enterprise systems and has successfully deployed AI solutions across healthcare, finance, and manufacturing sectors. Michael is certified in multiple AI platforms and cloud technologies.

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