Risk Detection Rules
As Lead Product Designer at Elevate Security, I developed a 0-1 risk detection rules solution, leveraging AI and machine learning to automate processes and create tailored responses for identifying and mitigating security threats. This work enhanced precision and efficiency in cybersecurity risk management.
Challenges Faced
- Building a flexible Criteria Builder to define the risk detection rules in a user-friendly way.
- Standardizing and automating triggered responses aka Actions, such as notifications via Slack, outbound webhooks, and actions in Azure AD.
Solutions
- Criteria Builder - Created an intuitive builder that allowed users to define and visualize complex detection criteria with ease.
- Templatized Responses - Designed and implemented a system for standardized response templates that could be automatically triggered based on detected risks. This included integrating with various communication channels and security tools to automate actions like Slack notifications, webhook calls, and Azure AD policy updates.
Users
- CISO
- Security Operations Center (SOC)
- Security Engineers
- Risk Management Teams
Key Learnings
- Implementing AI and automation in our risk detection processes was a game-changer. It significantly improved our ability to respond to threats in real-time, making our system more robust and efficient.
- Focusing on user research and testing was crucial. Understanding the needs of our security analysts, IT managers, and other stakeholders allowed us to create a solution that truly met their needs and improved their workflows.
- The collaboration between our cross-functional teams was instrumental. Working closely with my engineers, data scientists, and stakeholders ensured that my designs were not only visually compelling but also technically feasible and aligned with business goals.
- Exploring the capabilities of machine learning and AI in this project was a valuable learning experience. It opened my eyes to new possibilities in product design and how these technologies can be leveraged to solve complex problems in innovative ways.
Technologies Used
Figma/FigJam
JIRA
Confluence
TailwindCSS
Zoom