212-82 Exam Dumps : Certified Cybersecurity Technician (CCT)

For an e-commerce company undergoing rapid expansion, the NIST Cybersecurity Framework (CSF) is the most relevant risk management framework:

Customizability: NIST CSF is designed to be flexible and scalable, making it suitable for a growing e-commerce platform.

Comprehensive Approach: Covers identification, protection, detection, response, and recovery, which are critical for e-commerce security.

Industry Agnostic: Applicable across various sectors, providing a robust foundation for different security needs.

Guidance and Best Practices: NIST CSF provides detailed guidelines and best practices that help organizations develop a comprehensive security posture.

References:

NIST Cybersecurity Framework:NIST CSF

Implementation of NIST CSF in e-commerce: SANS Institute

Recovery is the IH&R step performed by Edwin in the above scenario. IH&R (Incident Handling and Response) is a process that involves identifying, analyzing, containing, eradicating, recovering from, and reporting on security incidents that affect an organization’s network or system. Recovery is the IH&R step that involves restoring the normal operation of the system ornetwork after eradicating the incident. Recovery can include reinstating lost data from the backup media, applying patches or updates, reconfiguring settings, testing functionality, etc. Recovery also involves ensuring that the backup does not have any traces of malware or compromise . Eradication is the IH&R step that involves removing all traces of the incident from the system or network, such as malware, backdoors, compromised files, etc. Incident containment is the IH&R step that involves implementing appropriate measures to stop the infection from spreading to other organizational assets and to prevent further damage to the organization. Notification is the IH&R step that involves informing relevant stakeholders, authorities, or customers about the incident and its impact. 

 A data-driven hunting method is a type of threat hunting method that employs existing data collected from various sources, such as DNS and proxy logs, to generate and test hypotheses about potential threats. This method relies on data analysis and machine learning techniques to identify patterns and anomalies that indicate malicious activity. A data-driven hunting method can help discover unknown or emerging threats that may evade traditional detection methods. An entity-driven hunting method is a type of threat hunting method that focuses on specific entities, such as users, devices, or domains, that are suspected or known to be involved in malicious activity. A TTP-driven hunting method is a type of threat hunting method that leverages threat intelligence and knowledge of adversary tactics, techniques, and procedures (TTPs) to formulate and test hypotheses about potential threats. A hybrid hunting method is a type of threat hunting method that combines different approaches, such as data-driven, entity-driven, and TTP-driven methods, to achieve more comprehensive and effective results.