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Using Network Flow Data to Profile Your Network and Reduce Vulnerabilities

Podcast
In this podcast, participants discuss how a network profile can help identify unintended points of entry, misconfigurations, and other weaknesses.
Publisher

Software Engineering Institute

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Abstract

A network profile can help identify unintended points of entry, misconfigurations, and other weaknesses that may be visible to attackers.

About the Speaker

Austin Whisnant

Austin Whisnant

Austin Whisnant is a Member of the Technical Staff with the CERT Program at the Software Engineering Institute, a unit of Carnegie Mellon University (CMU). Her research interests include large-scale network traffic analysis, risk analysis, modeling and simulation, and national cybersecurity policy. Whisnant is also currently a PhD student in …

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Sid Faber

Sid Faber

Sid Faber is an SEI alumni employee.

Sid Faber is a member of the technical staff within the CERT® Program at the Software Engineering Institute (SEI), a unit of Carnegie Mellon University in Pittsburgh, PA. As a member of the Network Situational Awareness (NetSA) analysis team, Faber supports sponsors by …

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Headshot of Julia Allen.

Julia H. Allen

Julia Allen is an SEI alumni employee.

Julia Allen is a principal researcher within the CERT® Division at the Software Engineering Institute (SEI), a unit of Carnegie Mellon University in Pittsburgh, PA. Allen’s areas of interest include operational resilience, security governance, and measurement and analysis. Prior to this technical assignment, …

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