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A threat analyst wants to incorporate a requirement in the threat knowledge repository that provides an ability to modify or delete past or irrelevant threat data.
Which of the following requirement must he include in the threat knowledge repository to fulfil his needs?
Incorporating a data management requirement in the threat knowledge repository is essential to provide the ability to modify or delete past or irrelevant threat data. Effective data management practices ensure that the repository remains accurate, relevant, and up-to-date by allowing for the adjustment and curation of stored information. This includes removing outdated intelligence, correcting inaccuracies, and updating information as new insights become available. A well-managed repository supports the ongoing relevance and utility of the threat intelligence, aiding in informed decision-making and threat mitigation strategies. Reference:
'Building and Maintaining a Threat Intelligence Library,' by Recorded Future
'Best Practices for Creating a Threat Intelligence Policy, and How to Use It,' by SANS Institute
Joe works as a threat intelligence analyst with Xsecurity Inc. He is assessing the TI program by comparing the project results with the original objectives by reviewing project charter. He is also reviewing the list of expected deliverables to ensure that each of those is delivered to an acceptable level of quality.
Identify the activity that Joe is performing to assess a TI program's success or failure.
By assessing the Threat Intelligence (TI) program through a comparison of project results with the original objectives, and by ensuring that all expected deliverables have been produced to an acceptable quality level, Joe is conducting a gap analysis. Gap analysis involves identifying the difference between the current state and the desired state or objectives, in this case, the outcomes of the TI program versus its intended goals as outlined in the project charter. This process allows for the assessment of what was successful, what fell short, and where improvements can be made, thereby evaluating the program's overall effectiveness and identifying areas for future enhancement. Reference:
'Project Management Body of Knowledge (PMBOK)' by the Project Management Institute
'Intelligence Analysis: A Target-Centric Approach' by Robert M. Clark
Sam works as an analyst in an organization named InfoTech Security. He was asked to collect information from various threat intelligence sources. In meeting the deadline, he forgot to verify the threat intelligence sources and used data from an open-source data provider, who offered it at a very low cost. Through it was beneficial at the initial stage but relying on such data providers can produce unreliable data and noise putting the organization network into risk.
What mistake Sam did that led to this situation?
Sam's mistake was using threat intelligence from sources that he did not verify for reliability. Relying on intelligence from unverified or unreliable sources can lead to the incorporation of inaccurate, outdated, or irrelevant information into the organization's threat intelligence program. This can result in 'noise,' which refers to irrelevant or false information that can distract from real threats, and potentially put the organization's network at risk. Verifying the credibility and reliability of intelligence sources is crucial to ensure that the data used for making security decisions is accurate and actionable. Reference:
'Best Practices for Threat Intelligence Sharing,' by FIRST (Forum of Incident Response and Security Teams)
'Evaluating Cyber Threat Intelligence Sources,' by Jon DiMaggio, SANS Institute InfoSec Reading Room
Alison, an analyst in an XYZ organization, wants to retrieve information about a company's website from the time of its inception as well as the removed information from the target website.
What should Alison do to get the information he needs.
'Using the Wayback Machine for Cybersecurity Research,' Internet Archive Blogs
'Digital Forensics with the Archive's Wayback Machine,' by Jeff Kaplan, Internet Archive
In a team of threat analysts, two individuals were competing over projecting their own hypotheses on a given malware. However, to find logical proofs to confirm their hypotheses, the threat intelligence manager used a de-biasing strategy that involves learning strategic decision making in the circumstances comprising multistep interactions with numerous representatives, either having or without any perfect relevant information.
Which of the following de-biasing strategies the threat intelligence manager used to confirm their hypotheses?
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. Reference:
'Game Theory and Its Applications in Cybersecurity' in the International Journal of Computer Science and Information Security
'Applying Game Theory to Cybersecurity' by the SANS Institute
