We developed an automation framework that classifies and mitigates emails reported to the SOC. The framework acts as an engine that consumes multiple data sources, including a supervised machine learning model and a risk scoring algorithm to assess with high confidence if an email is phishing, spam, or benign. We will discuss the benefits of our approach to phishing mitigation, such as enhancing our SOC's ability to automatically identify, prioritize, and mitigate malicious phishing attempts against employees before any damage is done. The session will outline the overall design of the framework, detail the primary components that are used within Splunk Phantom and Splunk Enterprise Security, and will outline the supervised machine learning model that we trained to aide the automation engine.
Speaker(s)
Mackenzie Kyle, Manager - Cybersecurity Operations Center, JPMorgan Chase
Benji Arnold, Sr. Security Analyst , JPMorgan Chase
Dennis Rhodes, Sr. Security Analyst, JPMorgan Chase
Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1128.pdf?podcast=1577146233