An intrusion detection system (IDS) is a network security tool that monitors and analyzes network traffic for signs of malicious or suspicious activity, such as unauthorized access, data exfiltration, malware infection, or denial-of-service attack. An IDS can detect and alert the organization to potential threats based on predefined rules or signatures, or based on anomalies or deviations from normal network behavior. An IDS can also generate logs that record the details of the network events and incidents, such as the source, destination, content, and context of the network traffic. By analyzing the IDS logs, the organization can identify and validate the suspicious network activity, and determine its scope, impact, and root cause. The organization can also use the IDS logs to support the incident response and remediation process, and to improve the network security and resilience. The other options are less effective ways to ensure that suspicious network activity is identified. Analyzing server logs can provide some information about the network activity, but it may not be sufficient or timely to detect and validate the suspicious or malicious activity, as server logs only capture the events or activities that occur on the server, and not on the entire network. Using a third-party monitoring provider can help to outsource the network monitoring and analysis function, but it may not be the best option, as it may introduce additional risks, such as data privacy, vendor reliability, or service quality issues. Coordinating events with appropriate agencies can help to share information and resources with other organizations or authorities, such as law enforcement, regulators, or industry peers, but it may not be the best option, as it may depend on the availability and cooperation of the agencies, and it may not be feasible or desirable to disclose the network activity to external parties. References = Monitoring for Suspicious Network Activity: Key Tips to Secure Your Network 1

The keyword in this question is"validate"organizational awareness. We are not just trying toimproveawareness but tomeasure how effectivecurrent awareness really is.
CRISC-aligned guidance on awareness and monitoring emphasizes that:
* Security awareness programs must bemeasuredfor effectiveness (e.g., changes in behavior, reporting, incident statistics).
* Simulated social-engineering or phishing campaigns are a direct way totestwhether employees recognize and handle actual attack patterns.
* The MOST effective way to improve and measure security awareness after phishing incidents is to perform periodic social engineering tests and communicate the results to staff.
Phishing simulations:
* Provideobjective metrics: click rates, credential submission rates, reporting rates.
* Directly test awareness in real-life-like conditions.
* Highlight high-risk groups or departments.
* Support targeted follow-up training and reporting to management.
Why the other options are less effective forvalidation:
* A. Requiring two-factor authenticationimproves technical security but does not demonstrate whether users understand broader cyber risk.
* B. Conducting security awareness trainingis aninputactivity; by itself, it does not show whether staff actually learned or changed behavior.
* D. Updating the information security policyprovides documented rules but does not validate whether people read, understand, or follow them.
Thus,implementing phishing simulationsis the MOST effective method tovalidate(test and evidence) organizational awareness of cybersecurity risk, consistent with CRISC guidance on using simulated attacks and metrics to assess awareness-program effectiveness.

Completing a gap analysis identifies discrepancies between current controls and the requirements of the IT control framework, ensuring a focused approach to compliance. This supportsRisk Assessment for Compliance Requirements.