A company detects suspicious activity associated with inbound connections.

The best solution is to implement an interactive honeypot (A). Honeypots are decoy systems designed to attract and observe adversary behavior in real time. When security tools cannot categorize suspicious inbound traffic, a honeypot provides an isolated environment where the suspicious activity can be redirected and monitored without risking production systems. By deploying an interactive honeypot, analysts can study attacker tactics, techniques, and procedures (TTPs), extract Indicators of Compromise (IoCs), and improve defensive controls.

Option B (mapping to known IoCs) fails because the activity cannot be categorized, implying it is novel or not yet identified in threat intelligence feeds. Option C (monitoring the dark web) provides intelligence about potential threats but does not address real-time inbound suspicious activity. Option D (UEBA) focuses on analyzing user and entity behaviors but is less effective for categorizing inbound external traffic.

By using honeypots, organizations gain visibility into new, unknown, or advanced attack techniques, which helps improve detection capabilities, enrich threat intelligence, and strengthen incident response.