Foundation for Success
1. Data Foundation
Successful AI automation requires high-quality data from comprehensive logging, network traffic analysis, endpoint detection, and user behavior analytics inputs.
2. Model Development and Training
Building effective AI models through representative training data, appropriate algorithm selection, hyperparameter tuning, and continuous performance monitoring.
3. Integration and Orchestration
Seamless integration with SOAR platforms, existing SIEM and EDR tools, ensuring consistent data formats and optimized performance across integrated platforms.