Accession Number:

AD1146733

Title:

An Assessment of ML-Powered Security Appliances for Situational Awareness

Descriptive Note:

[Technical Report, Technical Report]

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA

Personal Author(s):

Report Date:

2021-05-01

Pagination or Media Count:

16

Abstract:

Network security teams may find the adoption and deployment of a security appliance to be expensive and time-consuming. This document presents a review process that examines how an appliance fits into and contributes to an organizations situational awareness and security posture, including identification of utility, adoption issues, and how to mitigate such issues. The review grows out of the Workflow Review of Analysis Products developed by the SEI Situational Awareness team.

Subject Categories:

  • Cybernetics
  • Computer Systems

Distribution Statement:

[A, Approved For Public Release]