Which of the following methods can be helpful to eliminate social engineering threat? Each correct answer represents a complete solution.
Choose three.
Click on the arrows to vote for the correct answer
A. B. C. D.ABD.
The following methods can be helpful to eliminate social engineering threat: Password policies Vulnerability assessments Data classification Password policy should specify that how the password can be shared.
Company should implement periodic penetration and vulnerability assessments.
These assessments usually consist of using known hacker tools and common hacker techniques to breach a network security.
Social engineering should also be used for an accurate assessment.
Since social engineers use the knowledge of others to attain information, it is essential to have a data classification model in place that all employees know and follow.
Data classification assigns level of sensitivity of company information.
Each classification level specifies that who can view and edit data, and how it can be shared.
Social engineering is a form of cyber-attack where the attacker uses deception and manipulation to trick individuals into divulging sensitive information or performing an action that compromises security. To eliminate social engineering threats, it is important to take multiple measures that can help prevent these attacks. Three effective methods that can be helpful in eliminating social engineering threats are:
A. Password policies: Password policies are designed to help users create strong passwords and protect their accounts from unauthorized access. Password policies can include requirements such as the use of complex passwords, the regular changing of passwords, and the prohibition of password sharing. By enforcing strong password policies, organizations can reduce the risk of social engineering attacks that rely on weak passwords.
B. Data classification: Data classification involves categorizing data according to its sensitivity and importance. By identifying which data is critical and which is less important, organizations can apply appropriate security controls to protect the most sensitive information. For example, highly sensitive data can be stored on highly secured servers, while less sensitive data can be stored on less secure systems. By implementing data classification policies, organizations can reduce the risk of social engineering attacks that rely on accessing sensitive data.
C. Data encryption: Data encryption is the process of converting data into a form that is unreadable to unauthorized users. Encryption can help protect data from unauthorized access in the event of a social engineering attack. Even if an attacker gains access to encrypted data, they will not be able to read it without the decryption key. By implementing data encryption policies, organizations can reduce the risk of social engineering attacks that rely on accessing sensitive data.
D. Vulnerability assessments: Vulnerability assessments involve identifying and addressing vulnerabilities in systems and applications. By regularly assessing systems for vulnerabilities, organizations can identify and patch potential security holes before attackers can exploit them. This can help reduce the risk of social engineering attacks that rely on exploiting vulnerabilities to gain unauthorized access to systems or data.
However, it should be noted that while the methods listed above can be helpful in eliminating social engineering threats, they should not be considered as the only solution. A comprehensive security strategy should also include employee training, regular security audits, and incident response planning. By taking a multi-layered approach to security, organizations can reduce the risk of social engineering attacks and protect their sensitive data from being compromised.