UX/UI Design • Web App
AI Features Research
Combat alarm fatigue in Security Operations Centers
Client
Genetec
Duration
4 Months
My Role
UX/UI Designer
Research
User flows
Wireframing
Prototyping
Combat alarm fatigue in Security Operations Centers
Genetec
4 Months
UX/UI Designer
In collaboration with our data science team, I led a comprehensive research project investigating how artificial intelligence could revolutionize alert management in our unified security cloud platform. The primary focus was addressing a critical challenge faced by Security Operations Centers (SOCs): the overwhelming volume of security alerts leading to operator fatigue and reduced effectiveness.
Working closely with data scientists, we analyzed vast amounts of historical alert data and operator response patterns to understand how AI could intelligently filter, categorize, and prioritize security alerts. Our research explored advanced machine learning techniques for pattern recognition, anomaly detection, and predictive analytics to help security analysts make faster, more informed decisions.
The project involved extensive data analysis, algorithm evaluation, and validation of AI models against real-world security scenarios. We focused on developing intelligent systems that could learn from analyst behavior, identify alert patterns, and provide contextual information while ensuring that human expertise remained central to the decision-making process.
Alert Fatigue in SOC Operations
Security analyst overwhelmed by constant stream of alerts across multiple monitors
Data Analysis in Progress
Team analyzing alert patterns and developing AI models
85% reduction in non-critical alerts through AI-powered filtering and categorization
60% improvement in response time to critical security incidents
70% reduction in reported stress levels among SOC analysts
Implement AI-powered alert management system in stages, starting with non-critical alerts
Comprehensive training program for SOC analysts on new AI-assisted workflow
Regular system optimization based on analyst feedback and performance metrics
The process went smoothly, with the team successfully answering the sprint questions. It promoted alignment and motivation, and fostered open expression of ideas. This process also enhanced everyone's understanding of our clients and technology.
The team agreed that the idea warrants further exploration, but its priority and timeline need to be established. Although the short-term revenue potential may not be as high as initially anticipated due to overlap with existing products, the concept is appealing to consumers, developers, and investors.
During testing, we should not be guiding users with our questions. Particularly when testing a concept instead of a user interface (UI), we need determine whether users are drawn to the visual presentation or the underlying insight. For instance, users reacted positively to a clean UI for a real estate website, making it challenging to measure their enthusiasm for the additional insight. To ensure a realistic test environment, prototype should resemble a standard real estate website. Also, we must make sure our test panel accurately represents our main consumer base, excluding, for instance, students.
Strong interest in sustainable living features
Positive feedback on integration potential
Long-term growth opportunity identified
Establish project priority in product roadmap
Define development timeline and resource requirements
Conduct detailed market analysis for revenue potential