I Built an Autonomous AI SIEM With 10 Neural Networks

1. 1Build a neural network architecture using 10 models to detect anomalies
2. 2Train the models using a dataset of normal and abnormal server activity
3. 3Integrate the models with a SIEM system to automate threat detection
4. 4Configure the system to respond to threats in real-time
5. 5Test the system using simulated attacks to evaluate its effectiveness

Security teams and DevOps engineers can benefit from this approach to automate threat detection and response

💡 Autonomous AI SIEM systems can detect and respond to threats in real-time, improving server security

🚀 Built an autonomous AI SIEM with 10 neural networks to defend servers against threats! 🤖