Threat-Informed Defense for Cloud Security
Use our latest mappings to replace assumption-driven cloud defense with evidence-based decisions to stop cloud adversaries in their tracks. With …
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.
Use our latest mappings to replace assumption-driven cloud defense with evidence-based decisions to stop cloud adversaries in their tracks. With …
MITRE INFORM is a program-level assessment designed to show how threat-informed your organization is and where to improve next across cyber …
With Attack Flow, you will capture the entire attack and communicate what matters!
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