Adaptive Threat Modeling

Security should always be built with an understanding of who might be attacking and how capable they are. Typical threat modeling exercises are done with a static group of threat actors applied in “best guess” scenarios. While this is helpful in the beginning, the real data eventually tells the accurate story. The truth is that your threat landscape is constantly shifting and your threat model should dynamically adapt to it. This adaptation allows teams to continuously examine controls and ensure they are adequate to counter the current threat actors. It helps create a quantitative risk driven approach to security and should be a part of every security teams tools.

Join Aaron as he demonstrates how to look at web traffic to analyze the threat landscape and turn request logs into data that identifies threat actors by intent and categorizes them in a way that can be fed directly into quantitative risk analysis. Aaron will show how important this data is in driving risk analysis and creating an effective and appropriate security program.

About Aaron Bedra

Aaron Bedra is a Senior Engineer at DRW, where he works at the intersection trading and technology. He has served as a Chief Security Officer, Chief Technology Officer, and Principal Engineer/Architect. He has worked professionally on programming languages, most notably Clojure and ClojureScript. Aaron is the creator of Repsheet, an open source threat intelligence toolkit. He is the co-author of Programming Clojure, 2nd and 3rd Edition and a contributor to Functional Programming: A PragPub Anthology.

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