Multi-Cloud CloudTrail Query Runbooks for Faster Investigations

Logs from multiple cloud accounts. Different providers. One trail. You need answers now.

A multi-cloud platform with CloudTrail query runbooks turns raw noise into precise insight. Instead of logging into separate consoles, parsing JSON by hand, or hoping a script still works, you run one query across AWS, Azure, and GCP. The platform collects the events, normalizes them, and runs your commands at scale.

CloudTrail is powerful, but limited to AWS by default. In a multi-cloud setup, you need consistent visibility across providers. Runbooks automate this. They define the steps you run every time: search for a specific API call, match it against known patterns, pivot on IPs, trace IAM role usage. No drift. No manual gaps.

With a unified runbook, every investigation follows the same path. Query AWS CloudTrail for console logins, pivot to Azure Sign-In logs, then into GCP Audit Logs without switching tools or formats. Filter by time range, event name, or actor. Export results instantly. Trigger downstream workflows like ticket creation or remediation scripts.

Multi-cloud security teams use these queries to catch privilege escalation attempts, anomalous deployments, and unauthorized data exports. Operators use them for compliance audits, change impact analysis, and forensic reconstruction after incidents. The key is that the runbook is machine-executable and human-readable, so you trust both the process and the output.

When integrated into a modern multi-cloud platform, CloudTrail query runbooks enable faster mean time to detect, shorten investigations, and maintain consistent policy enforcement. You don’t waste cycles on repetitive setup—every query is ready to run when you need it.

See how you can run multi-cloud CloudTrail queries in minutes. Test it now at hoop.dev and watch the results come back before the next alert hits.