Introducing Frontegg.ai: Identity Management for AI Agent Builders

Building AI agents is exciting, but the current infrastructure for identity plumbing can turn that excitement into a hair-pulling, frustrating experience with tasks that rarely seem to take just one sprint. 

You’re spending precious time wrestling with OAuth flows, managing tokens, and trying to ensure a high level of security for your users, but that’s a lot of time and energy you could be spending actually building an agent that does useful stuff.

Here at Frontegg, we actually discovered this pain firsthand when we built the world’s first identity security agent, Dorian. So that’s why we took the next step and built the infrastructure we wished we had had from the get-go: Frontegg.ai.

Cobbling together identity infrastructure for agents

The AI agent market is poised for massive growth. Companies are realizing the potential of autonomous agents—powering backend insights, automating workflows, and even becoming enterprise-grade, standalone products. 

But the existing identity infrastructure was designed for applications, not agents. So agent builders end up borrowing different identity building blocks from different places. That means days or weeks of stitching together boilerplate auth, integration code, and frontend flows—all before you even get to the actual AI logic. 

This was fine when AI agents were just fun experiments. But now that companies are trying to actually productize them, this approach leads to wasted time and unforeseen problems down the line.

Frontegg.ai: A secure & scalable foundation 

Frontegg.ai provides the essential identity layer you need to build, productize, and scale your AI agents. It’s not just another authentication provider—it’s a purpose-built solution for the agentic era, and supports both B2B and B2C agent applications. 

With Frontegg.ai, you can quickly set up an AI agent with its own dedicated identity system. This allows the AI agent to be built as a true standalone product, not just as a feature inside another app. Frontegg MCP auto-generates authentication, integration setup, and code inside your IDE using a single prompt.

From a single prompt, you can scaffold a fully‑wired identity layer for an agent, including multi‑tenant onboarding, MCP‑native OAuth flows, and least‑privilege authorization. The scaffold drops directly into Cursor and other co-pilots, and integrates natively with popular orchestration frameworks like LangChain, CrewAI, and OpenAI—the tools you already use to build agents. Using Frontegg.ai, you can create an agent from scratch in about five minutes from start to finish.

Here’s what you’ll get with Frontegg.ai:

1. Multitenant authentication 

The problem: Spinning up secure, multi-tenant user authentication requires setting up databases, flows, org logic, and security layers from scratch—a huge lift just to get started.

How Frontegg.ai solves it: Securely onboard end-users and their organizations in and from the agent’s interface. Enable multi-tenant user auth, org onboarding, and secure user identification in minutes, using Frontegg’s hosted flows and managed user pools. Finally, builders can add real customers to their agents without clumsy workarounds.  

2. Unified integration and identity infrastructure

The problem: Developers often waste hours wrangling OAuth flows, refreshing tokens, and handling user consent manually—all of which is error-prone, repetitive, and a security risk if done wrong.

How Frontegg.ai solves it: Support both user-level (on-behalf-of) and app-level (org-based) integrations for tools like Slack, Google Calendar, Jira, and HubSpot. Frontegg securely manages OAuth tokens, keeps them encrypted and refreshed, and handles all consent and connection flows on your behalf — so you never have to manually deal with fragile token logic.

3. Granular authorization 

The problem: Enforcing plan-based or usage-based agent features usually means building a custom permissions engine, which most developers would rather avoid. The problem creeps up later when you want to give the agent different permissions, and are forced to generate tokens dynamically—not an easy task. You need a better way to adjust the agent’s permissions over time. 

How Frontegg.ai solves it: You can now easily manage what agents can and can’t do. Think: granular roles and permissions, security policies, step-up authentication, and the rest of what the core Frontegg platform offers, now for agents. Enforce feature usage and per-plan limitations with Frontegg’s entitlement system to manage what agents can do and when.

Conclusion 

Frontegg.ai is the fastest, most scalable way to bring your AI agent from idea to product. Launch a fully functional AI agent product with identity, integrations, and user onboarding in a matter of minutes, reducing time from idea to product. All of the capabilities described here are ready to use immediately from the Frontegg Portal. 

Resources to get started:

• Learn more at frontegg.ai. 
• To get started, log in to the Frontegg Portal and head over to the “AI Agents” section.
• Frontegg AI SDK: @frontegg/ai-sdk

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