Trend Micro MCP. Analyze alerts and endpoint activity with natural language queries.

Forget slogging through complex SIEM dashboards or writing clunky API scripts. This server connects your AI agent straight into Trend Micro Vision One, letting you investigate threats and audit activity using just natural language commands. It's like having a highly technical teammate who knows exactly where to look in the security stack.

Checking Active Security Alerts and System Status

You can get an immediate overview of what’s going on with list_security_alerts, which pulls a summary list of all active or structural alerts from the Vision One workbench. If something looks suspicious, you don't have to guess; use get_alert_details by providing a specific alert ID. This tool retrieves deep metadata and context for that single alert, letting you analyze its full impact right away.

Before diving into threats, you can verify the connection health using get_vision_one_account. It checks your overall Trend Micro account status and connectivity within Vision One so you know the data pipeline is solid.

Auditing Endpoints and Assets

You need to know what machines are on the network? Start by running list_managed_endpoints. This gives you a clean list of every physical asset (Endpoints) that Vision One tracks. Once you have that list, you can drill down into any specific machine's history. Use list_endpoint_activity_logs to pull historical telemetry and activity records from a chosen endpoint device.

You’re not just getting uptime; you're pulling deep process data and user actions. If the threat is tied to an asset that isn't listed, it probably doesn't exist in Vision One yet.

Gathering Threat Intelligence and Raw Detections

When you suspect a bad actor or malware, you gotta check the intelligence. You can use list_suspicious_objects to query the threat intelligence database for known Indicators of Compromise (IoCs). This tool lists specific bad objects—like suspicious IPs, malicious URLs, or file hashes—so you know if they’ve been seen before in your network.

To catch threats that haven't even reached alert status yet, run list_recent_detections. This surfaces raw XDR detections and threat data that hasn't been formally flagged as a high-priority incident; it's the stuff security pros look at first.

Forensically Tracing Activity Logs

For deep forensic work, you need to trace activity across specific channels. If an email is involved in the breach, use list_email_activity_logs. This tool searches detailed logs specifically related to your email traffic, letting you hunt for subtle clues about lateral movement or data exfiltration. For incident timelines, if you suspect a deep process compromise on a machine, you can pull specific historical telemetry from that device using list_endpoint_activity_logs.

These tools let you follow the entire chain of events—from the suspicious object to the compromised endpoint and back through the detailed logs.