Fight Financial Fraud
The Fight Fraud Framework strengthens fraud analysis by giving teams a clear behavioral structure to identify risks, focus investigations, and …
October 27, 2022
Attack Flow is a data model with supporting tooling and examples for describing sequences of adversary behaviors. Attack flows help defenders understand, share, and make threat-informed decisions based on the sequence of actions in a cyber-attack. Flows can be analyzed to identify common patterns in adversary behavior, overlayed on ATT&CK Navigator layers to understand defensive coverage, and create a foundation for intel-driven adversary emulation plans.
This is an old version of the Attack Flow project. For the latest version, see: Attack Flow.
Defenders often track adversary behaviors atomically, focusing on one specific action at a time. This makes it harder to understand adversary attacks and to build effective defenses against those attacks.
Create a language, and associated tooling, to describe flows of ATT&CK techniques and combine those flows into patterns of behavior.
Help defenders and leaders understand how adversaries operate and compose atomic techniques into attacks to better understand defensive posture.
The Fight Fraud Framework strengthens fraud analysis by giving teams a clear behavioral structure to identify risks, focus investigations, and …
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