ARCTIC WOLF INTERNSHIP

Increasing Threat Detection Speeds

Redesigning a workflow that allows security engineers to manage high volumes of network activity more efficiently

Project Details

ROLE

User Interviews, Journey Mapping,
Wireframing, Prototyping, A/B Testing

TEAM

Brittney Cheng - UX Design Intern
Sophia Chen - UX Design Intern

TIMELINE

2 Months
February - April 2022

TOOLS

Figma
Miro

How can we make managing the high volume of security events more efficient for cybersecurity engineers?

Overview

Arctic Wolf Networks is a leading company within the cybersecurity industry. Their mission is to help organizations end cyber risk by providing security operations as a concierge service. 

Arctic Wolf offers 24/7 monitoring, detection and response along with ongoing risk management to protect organizations from cyber-attacks.

Context

The Security Dashboard is an internal platform used by security engineers at Arctic Wolf to investigate incoming activity in a customer's network. Through this platform, security engineers can identify malicious events and alert customers before it's too late.

The Security Dashboard receives 200,000 + potentially malicious events that need to be manually investigated by security engineers. 

Challenge

Security engineers receive hundreds of thousands of potentially malicious security events that need to be triaged and alerted upon. With the high volume of events, security engineers leverage suppressions to temporarily remove known events off the board so they can focus on what matters most. The current suppression workflow was slow, restrictive, and lacked automation. With the end goal of alerting customers on potential threats as fast as possible, the workflow needed to be more efficient.

The challenge was to redesign a workflow within the Security Dashboard to allow security engineers to triage events quicker.

Solution

Due to an NDA, designs and process work cannot be disclosed. Please reach out to me or refer to the password on my resume to gain access to this case study!


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