2025_EML Capstone Projects

Incorporated feedback to establish a change management, and a change champion framework was adopted informally during stakeholder engagement. Key factors include compliance, cybersecurity operations, and other project builders were consulted as internal advocates. They helped to explain technical concepts internally and provided feedback that increased cross-functional support and reduced friction.

9. Recommendations and Improvements Improvement opportunities:

For machine learning model training, anonymized real data can be used for future projects as long as practicing a strong collaboration with real-world VA cyber security analysts. Also, UI/UX can be involved more to enhance workflow analysis and tools that can handle alerts. While transparency builds significant amounts of trust, continuous improvement is a key factor for project development. Focusing on visualization can certainly reduce hesitance with automaton processes. Improvement planning : Area for improvement Action Timeline Responsible Party Reduction on false positives Tunning machine Data scientists

Between 1 to 2 weeks

learning model threshold using feedback and data validation mechanism Schedule ML model retraining every quarter of the year User testing will be conducted with filters will be added for user ID, activity type, and severity levels. Partnership with VA to inquire anonymized datasets cybersecurity analysts. Also,

Continuous machine learning model updates Dashboard UX/UI Enhancement

Ongoing

Machine learning engineer

3 weeks

UX/UI lead and developers

Realism in testing

4 weeks

Organization’s project liaison office

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