A security engineer needs to configure Microsoft Sentinel to automatically close a Defender for AI incident as a false positive when the source is a known internal penetration testing team's IP addresses. The pen test team's IPs are stored in a Sentinel watchlist. Which Microsoft Sentinel feature handles incident disposition automation?

B is correct because Microsoft Sentinel Automation Rules support conditions based on incident properties (such as entity IP addresses) and can reference watchlists in conditions. When a new incident is created and its source IP matches an entry in the pen testing team watchlist, the automation rule action can automatically close the incident with a 'False Positive - Incorrect alert logic' classification, providing automated false positive management without playbook overhead. A is incorrect because analytics rule suppression prevents new alert/incident creation for matching conditions during a suppression window; it does not close already-created incidents or provide watchlist-based conditional logic as sophisticated as automation rules. C is incorrect because a playbook is a valid approach but automation rules (option B) are simpler, have lower latency, and do not require Logic App execution costs; automation rules are the preferred first option for condition-based incident closure. D is incorrect because Fusion rule exclusion lists are for reducing false positive Fusion incidents, not for suppressing individual Defender for AI alerts based on entity watchlist matching.