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The Cyber Threat Framework was developed by the US Government to enable consistent characterization and categorization of cyber threat events, and to identify trends or changes in the activities of cyber adversaries.

The Cyber Threat Framework is applicable to anyone who works cyber-related activities, its principle benefit being that it provides a common language for describing and communicating information about cyber threat activity.

The framework and its associated lexicon provide a means for consistently describing cyber threat activity in a manner that enables efficient information sharing and cyber threat analysis, that is useful to both senior policy/decision makers and detail oriented cyber technicians alike.

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The framework captures the adversary life cycle from PREPARATION of capabilities and targeting to initial ENGAGEMENT with the targets or temporary nonintrusive disruptions by the adversary, to establishing and expanding the PRESENCE on target networks, to the creation of EFFECTS and CONSEQUENCES from theft, manipulation, or disruption.

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The framework, with its associated lexicon, can be used to consistently describe cyber activity. The framework:

  • Began as a construct to enhance data sharing throughout the US Government
  • Facilitates efficient situational analysis based on objective data
  • Provides a simple, yet flexible, collaborative way of characterizing and categorizing activity that supports analysis, senior level decision making, and cybersecurity
  • Offers a common backbone (cyber Esperanto) easier to map unique models to a common standard that to each other
  • Facilitates cyber threat trend and gap analysis, and assessment of collection posture.

While the data that can be compiled using the framework can serve as useful points of information for analysis, the framework is not designed to serve as an analytic model. The framework focuses on describing objective data and is not meant to include “analytic” judgment/speculation.

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The idea of creating a cyber threat framework came from observations among the US policy community that cyber was being described by different agencies in a variety of ways that made consistent understanding difficult. There are over a dozen analytic models being used across government, academia, and the private sector. Each model reflects the priorities and interests of its developer, but the wide disparities across models made it difficult to facilitate efficient situational analysis that was based on objective data.

 

The framework will be scalable and facilitate data sharing at “machine speed.” Implementation within the USG will include processes to reduce or eliminate double-counting of threat data.

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