As a PhD candidate at Capitol Technology University I’m conducting a scenario-based security detection & response alert output usability survey for cybersecurity analysts and managers in Security Operation Center (SOC), Digital Forensic and Incident Response (DFIR), Detection and Response Team (DART) & Threat Intelligence (TI) roles. These roles often make use of output from detection methods including machine learning & data science. Individual contributors & managers alike are welcome.
The purpose of the research is to determine if there is a statistically significant difference in security analysts’ preference and acceptance between text alert output (TAO) and visual alert output (VAO) derived by these methods.
The survey should take 20 minutes.
https://www.surveymonkey.com/r/TAOvsVAO
Security analysts will benefit from their organization’s improved understanding of their preferences for detection output to enable effective and timely triage, analysis, and response to security events and findings.
Organizational security leaders will find the results insightful as a means to improve the experience of the security analysts protecting the organization from cyber attacks.
The questions involved are derived from the Technology Acceptance Model and are not sensitive; the confidentiality and anonymity of respondents is absolute, no personally identifiable information (PII) will be collected at any time. The researcher will not know anything about individual respondents and their responses other than their consent to proceed and complete the survey after an affirmative acknowledgment of a prequalifying question.
If you have any questions about the research, your rights, or related matters, please contact me, G. Russell McRee, at Capitol Technology University, 11301 Springfield Road, Laurel, MD 20708 and grmcree at captechu dot edu.