312-85 Exam Dumps : Certified Threat Intelligence Analyst (CTIA)

Using conditional probability to uncover relationships between data variables corresponds to the Data Correlation stage in statistical analysis.

Data Correlation involves identifying how different data attributes relate to one another. Analysts use mathematical and statistical methods, such as probability distributions, correlation coefficients, and conditional probability, to determine whether one event or variable influences another.

This step helps analysts detect dependencies, trends, and anomalies — essential for predicting threat behavior and developing effective response strategies.

Why the Other Options Are Incorrect:

Data classification: Involves categorizing data into defined groups or classes.

Data preparation: Refers to cleaning, formatting, and structuring data before analysis.

Data validation: Ensures that data is accurate, complete, and free of errors.

Conclusion:

By applying conditional probability, Jamie is performing Data Correlation, identifying statistical relationships among data points.

Final Answer: A. Data correlation

Explanation Reference (Based on CTIA Study Concepts):

According to CTIA’s “Statistical Data Analysis in Threat Intelligence,” data correlation uses probability and relationship analysis to derive insights from security data.

The key factor that enables a structured and automated process for investigating attacks, processing intelligence, and integrating it with internal controls is Workflow.

In a Threat Intelligence Platform (TIP), the workflow defines a structured sequence of steps or processes that analysts follow to collect, process, analyze, and act on intelligence data. It ensures that:

Intelligence is processed consistently and efficiently.

Alerts, investigations, and responses follow predefined automation rules.

Internal controls are linked with threat feeds for faster detection and mitigation.

A well-designed workflow also supports investigation automation, report generation, and integration with other security systems such as SIEM, SOAR, and EDR tools.

Why the Other Options Are Incorrect:

A. Scoring: Refers to prioritizing or rating intelligence based on risk or severity but does not automate investigations.

B. Search: Involves querying the intelligence database for specific data but lacks structured investigation processes.

D. Open: Indicates an open architecture or API support, not workflow automation or process structuring.

Conclusion:

The correct factor that ensures structured, automated investigations in a Threat Intelligence Platform is Workflow.

Final Answer: C. Workflow

Explanation Reference (Based on CTIA Study Concepts):

CTIA defines workflow as a key element in threat intelligence platforms that organizes and automates intelligence-driven investigations across multiple security controls.

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.