
Visibility Through the Clouds with Network Flow Logs
From Software Engineering Institute (SEI) Podcast Series by Members of Technical Staff at the Software Engineering Institute
January 15, 2026 · 36 min
About this episode
The episode discusses enhancing security through cloud flow analysis and the tools available for it.
Organizations, including the U.S. military, are increasingly adopting cloud deployments for their flexibility and cost savings. The shared security model utilized by cloud service providers removes some of the adopting organization's responsibility for system administration and security. But it leaves them on the hook for monitoring hosted applications and resources. Cloud flow logs are a valuable source of data for supporting these security responsibilities and attaining situational awareness. The SEI has a long history of supporting flow log collection and analysis, including tools for collection in Azure and AWS. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), two leading researchers in this area, principal researcher Tim Shimeall and security data analyst Ikem Okafo, both with the SEI's CERT Division, sit down with Dan Ruef, technical manager of the CERT Division's Network Situational Awareness Group, to discuss how to enhance security with cloud flow analysis as well as available tools and resources.
People in this episode
Host: Dan Ruef
Guests: Tim Shimeall, Ikem Okafo
Topics covered
- cloud computing
- security
- network flow logs
- situational awareness
- data analysis
- military technology
Keywords
- cloud deployments
- security model
- monitoring
- flow logs
- data collection
- Azure tools
- AWS tools
Mentioned in this episode
Organizations: Software Engineering Institute, CERT Division, Carnegie Mellon University, Azure, AWS
Places: U.S.
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