- Evaluate whether a legacy setup is actually creating hidden risk and operational drag
- Build confidence in a more flexible platform through staged adoption
- Use a baseline rule library + AI-driven optimization to reduce false positives safely
- Put governance around tuning: documentation, testing, QA/QC, training, and explainability
- Avoid overfitting and ensure the team’s dispositions are reliable inputs for optimization
Attendees will leave with a clear roadmap for upgrading systems and processes while empowering their teams to own outcomes, not just manage alerts.


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