Cyber: Webinar: How Modern SOC Teams Use AI And Context To Investigate...

Cloud attacks move fast — faster than most incident response teams.

In data centers, investigations had time. Teams could collect disk images, review logs, and build timelines over days. In the cloud, infrastructure is short-lived. A compromised instance can disappear in minutes. Identities rotate. Logs expire. Evidence can vanish before analysis even begins.

Cloud forensics is fundamentally different from traditional forensics. If investigations still rely on manual log stitching, attackers already have the advantage.

Most teams face the same problem: alerts without context.

You might detect a suspicious API call, a new identity login, or unusual data access — but the full attack path remains unclear across the environment.

Attackers use this visibility gap to move laterally, escalate privileges, and reach critical assets before responders can connect the activity.

To investigate cloud breaches effectively, three capabilities are essential:

In this webinar session, you will see how automated, context-aware forensics works in real investigations. Instead of collecting fragmented evidence, incidents are reconstructed using correlated signals such as workload telemetry, identity activity, API operations, network movement, and asset relationships.

This allows teams to rebuild complete attack timelines in minutes, with full environmental context.

Cloud investigations often stall because evidence lives across disconnected systems. Identity logs reside in one console, workload telemetry in another, and network signals elsewhere. Analysts must pivot across tools just to validate a single alert, slowing response and increasing the chance of missing attacker movement.

Source: The Hacker News