Machine Learning components within CrowdStrike
Description
CrowdStrike uses machine learning to review security events in order to create notifications of detections and incidents for the SLAC Cybersecurity team.
Detailed example
CrowdStrike Detections/Incidents
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
From the use of CrowdStrike's machine learning components, SLAC receives the benefit of visibility to analyze possible security events
Audit / financial statement impact
This AI system not meet the criteria of any of the six pillars that make up High Impact AI in Memorandum M-25-21
Controls / human review
ATO: Yes; PIA: Not published
Data needed
CrowdStrike's machine learning model is trained on data generated by activity at SLAC