ECCouncil 212-82 Exam With Confidence Using Practice Dumps

 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. 

PCI-DSS requirement no 5.3 is the PCI-DSS requirement that is demonstrated in this scenario. PCI-DSS (Payment Card Industry Data Security Standard) is a set of standards that applies to entities that store, process, or transmit payment card information, such as merchants, service providers, or payment processors. PCI-DSS requires them to protect cardholder data from unauthorized access, use, or disclosure. PCI-DSS consists of 12 requirements that are grouped into six categories: build and maintain a secure network and systems, protect cardholder data, maintain a vulnerability management program, implement strong access control measures, regularly monitor and test networks, and maintain an information security policy. PCI-DSS requirement no 5.3 is part of the category “maintain a vulnerability management program” and states that antivirus mechanisms must be actively running and cannot be disabled or altered by users, unless specifically authorized by management on a case-by-case basis for a limited time period. In the scenario, Ayden works from home on his company’s laptop. During working hours, he received an antivirus software update notification on his laptop. Ayden clicked on the update button; however, the system restricted the update and displayed a message stating that the update could only be performed by authorized personnel. This means that his company’s laptop has an antivirus mechanism that is actively running and cannot be disabled or altered by users, which demonstrates PCI-DSS requirement no 5.3.

For a mobile banking app, ensuring secure user authentication is crucial. Multi-factor authentication (MFA) provides a robust security layer:

Multi-Factor Authentication (MFA):

Definition: MFA requires users to provide two or more verification factors to gain access, combining something they know (password), something they have (smartphone), and something they are (biometric verification).

Security Benefits: Significantly reduces the risk of unauthorized access even if one factor is compromised.

Implementation:

User Convenience: Integrate seamlessly into the app to maintain a positive user experience.

Enhanced Security: Protects against various attack vectors, including phishing, brute force attacks, and credential stuffing.

References:

NIST Digital Identity Guidelines:NIST SP 800-63

OWASP Mobile Security Testing Guide: OWASP MSTG