An endpoint detection and response (EDR) system is a security tool that monitors and analyzes the activities and behaviors of endpoints, such as computers, laptops, mobile devices, and servers. An EDR system can detect, prevent, and respond to various types of threats, such as malware, ransomware, phishing, and advanced persistent threats (APTs). One of the features of an EDR system is to block the automatic execution of downloaded programs, which can prevent malicious code from running on the endpoint when a user clicks on a link in a phishing message. This can reduce the impact of a phishing attack and protect the endpoint from compromise. Updating the EDR policies to block automatic execution of downloaded programs is a technical control that can mitigate the risk of phishing, regardless of the user's awareness or behavior. Therefore, this is the best answer among the given options.
The other options are not as effective as updating the EDR policies, because they rely on administrative or physical controls that may not be sufficient to prevent or stop a phishing attack. Placing posters around the office to raise awareness of common phishing activities is a physical control that can increase the user's knowledge of phishing, but it may not change their behavior or prevent them from clicking on a link in a phishing message. Implementing email security filters to prevent phishing emails from being delivered is an administrative control that can reduce the exposure to phishing, but it may not be able to block all phishing emails, especially if they are crafted to bypass the filters. Creating additional training for users to recognize the signs of phishing attempts is an administrative control that can improve the user's skills of phishing detection, but it may not guarantee that they will always be vigilant or cautious when receiving an email.
Therefore, these options are not the best answer for this question. References = Endpoint Detection and Response - CompTIA Security+ SY0-701 - 2.2, video at 5:30; CompTIA Security+ SY0-701 Certification Study Guide, page 163.

To identify authentication weaknesses in a customer-facing web application, the best method is dynamic analysis, also known as Dynamic Application Security Testing (DAST). Dynamic analysis evaluates an application while it is running, allowing testers to observe real-world interactions, session handling, login mechanisms, credential validation, access control failures, and runtime vulnerabilities such as brute-force weaknesses or authentication bypass conditions.
Security+ SY0-701 outlines DAST as the preferred approach for testing live web applications because it uncovers:
Weak session management
Broken authentication flows
Input validation failures
Misconfigurations in login portals
Runtime vulnerabilities that static code review cannot detect
Static analysis (A) only analyzes source code and may overlook logic flaws in authentication. Packet capture (B) inspects network traffic but cannot evaluate internal authentication logic. Agent-based scanning (C) is used for hosts, not web applications. Network-based scanning (E) finds port-level vulnerabilities but cannot assess application authentication mechanisms.
Therefore, dynamic analysis (D) is the most effective and accurate technique for discovering authentication weaknesses in live web applications.

File Integrity Monitoring (FIM) is the best tool for detecting unauthorized file deletions, modifications, or improper permission changes within network shares. FIM works by creating cryptographic hashes and baselines for protected files or directories and then continuously monitoring for deviations. Any unauthorized deletion, modification, or permission change triggers alerts.
Security+ SY0-701 identifies FIM as a foundational integrity control used in compliance frameworks (PCI- DSS, HIPAA) and operational security monitoring. Because the organization is experiencing unpredictable changes to shared files and permissions, FIM provides visibility and accountability for who changed what and when.
DLP (A) prevents data leakage but does not detect permission changes. EDR (B) focuses on endpoint threat behavior, not file integrity on network shares. ACLs (D) define permissions but do not track changes or detect unauthorized modifications.
Therefore, C: FIM is the correct choice.

The scenario suggests that only the employees who used the kiosks inside the building had their credentials compromised. Since the time-keeping website is accessible from the internet, it is possible that a malicious actor exploited an unpatched vulnerability in the site, allowing them to inject malicious code that captured the credentials of those who logged in from the kiosks. This is a common attack vector for stealing credentials from web applications.
References =
* CompTIA Security+ SY0-701 Course Content: The course discusses web application vulnerabilities and how attackers can exploit them to steal credentials.