Achieving AI-Native Security uses a four-phase framework.

It begins with Discovery and Data Integration to establish a high-fidelity data foundation.
Phase 2 focuses on AI Model Training, where machine learning creates unique behavioral baselines (UEBA) for your environment, dramatically reducing false positives.
Phase 3 is the Go-Live, activating automated SOAR playbooks for machine-speed threat containment.
The final phase ensures Continuous Optimization through constant model retraining against evolving threats.
This proven process augments your team, guaranteeing 24/7 coverage, predictive defense, and a scalable, efficient security posture with clear ROI.