ECCouncil 312-85 Exam With Confidence Using Practice Dumps

In the Threat Intelligence Sharing Model, the Public Tier is used when information is of low sensitivity and can be shared widely across communities, industry groups, or the public domain.

This tier is ideal for sharing generalized threat data, advisories, or non-sensitive indicators that do not pose risks to the organization if disclosed.

Why the Other Options Are Incorrect:

Private tier: Used for highly sensitive intelligence shared only within a small internal group or trusted partners.

Targeted tier: Shared with specific, predefined organizations or partners with a need-to-know basis.

Multitier: Involves multiple sharing levels but is not a standard individual tier type.

Conclusion:

Henry should use the Public Tier, suitable for broader sharing of low-sensitivity information.

Final Answer: B. Public tier

Explanation Reference (Based on CTIA Study Concepts):

As per CTIA’s “Threat Intelligence Sharing Framework,” the public tier enables dissemination of low-sensitivity threat intelligence to trusted communities for collaborative defense.

Game theory is a mathematical framework designed for understanding strategic situations where individuals' or groups' outcomes depend on their choices and the choices of others. In the context of threat intelligence analysis, game theory can be used as a de-biasing strategy to help understand and predict the actions of adversaries and defenders. By considering the various strategies and potential outcomes in a 'game' where each player's payoff is affected by the actions of others, analysts can overcome their biases and evaluate hypotheses more objectively. This approach is particularly useful in scenarios involving multiple actors with different goals and incomplete information.

Threat Grid is a threat intelligence and analysis platform that offers advanced capabilities for automatic data collection, filtering, and analysis. It is designed to help organizations convert raw threat data into meaningful, actionable intelligence. By employing advanced analytics and machine learning, Threat Grid can reduce noise from large data sets, helping to eliminate misrepresentations and enhance the quality of the threat intelligence. This makes it an ideal choice for Tim, who is looking to address the challenges of converting raw data into contextual information and managing the noise from massive data collections.