Accession Number:

AD1078075

Title:

SCAIFE: An Alert Auditing Classification Prototype (Briefing Charts)

Descriptive Note:

Technical Report

Corporate Author:

Carnegie Mellon University Pittsburgh United States

Personal Author(s):

Report Date:

2019-01-01

Pagination or Media Count:

8.0

Abstract:

In this SEI Cyber Minute, Ebonie McNeil explains how the Source Code Analysis Integrated Framework Environment or SCAIFE prototype is intended to be used by developers and analysts who manually audit alerts. SCAIFE provides automatic alert classification using machine learning which gives a level of confidence that the alert is true or false. The SCAIFE prototype also enables organizations to apply formulas that prioritize static analysis alerts by using factors they care about.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE