Keycloak AI: EASY User Management with Risk Detection
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- čas přidán 25. 07. 2024
- Dive into the world of AI-powered security with this comprehensive tutorial on integrating AI risk detection with Keycloak! 🚀
In this video, you'll learn how to:
Set up Keycloak: Download and install the latest version (25.1) 🛠️
Integrate AI: Connect OpenAI API to Keycloak for risk assessment 🤖
Create AI Risk Authenticator: Build a custom provider to analyse and score user risk 🔍
Configure and Deploy: Set up the provider, build the Java package, and deploy it to Keycloak 🖥️
By the end of this tutorial, you'll have a robust system that leverages AI to assess and mitigate risks, enhancing the security of your applications! 💪
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Code: mer.vin/2024/07/keycloak-ai-r...
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Timestamps
0:00 - Introduction: Keycloak AI Overview
0:11 - What is Keycloak? Identity and Access Management Explained
1:01 - Integrating AI into Keycloak for Risk Detection
2:00 - Tutorial Goals and Channel Introduction
2:28 - Step 1: Download and Install Keycloak
3:31 - Step 2: Setting Up Keycloak User Management
4:00 - Step 3: Creating AI Risk Authenticator Provider
6:35 - Step 4: Configuring and Building the AI Integration
7:52 - Step 5: Running and Testing the AI Risk Authenticator
8:48 - Conclusion and Future Steps - Jak na to + styl
* High Risk Score = Refuse User
* Low Risk Score = Allow User
If anyone managed to complete this code, please send me and I will update it.
This is amazing 😊
Though this is interesting, I'm not sure I understand/convinced of assessing risk by GPT based on 'username, ip-address, and user-agent' ? Are you planning to integrate some tools with it ?
This is just basics to understand. And definitely we need more logic and added information to asses risk. Just thought of keeping it simple for this tutorial.