AI-Powered AWS GuardDuty Alert Investigation | Dropzone AI

Automate AWS GuardDuty alert investigations

Tighten up your cloud security posture with fast and thorough investigations for every GuardDuty alert, as soon as it hits the queue.

Why Dropzone AI

Investigate every AWS GuardDuty alert quickly and accurately

AWS GuardDuty excels at detecting threats in your cloud environment, but analysts must still investigate these alerts to find the real threats hidden in the noise. Delayed investigations expose your business to unnecessary risk. With this AWS GuardDuty integration, Dropzone AI eliminates these delays by automating the entire investigation process—leveraging GuardDuty and other security tools, integrating context from your business systems, and even conducting automated user interviews.

See the Amazon GuardDuty integration

89% of SOC alert backlogs are growing annually

Most security operations centers (SOCs) are unable to keep up with the growing volume of alerts. Uninvestigated alerts pose a risk to the organization.

How Dropzone AI Boosts AWS GuardDuty Performance in the SOC

Cut Mean-Time-to-Conclusion (MTTC) with AI-driven investigations. Dropzone AI SOC analysts investigate GuardDuty alerts as soon as they are fired, consistently reaching accurate conclusions in under 10 minutes. Speed in cloud threat investigation is critical—that’s the value of Dropzone AI combined with AWS GuardDuty.

Read About MTTC

HOW IT WORKS

Amazon GuardDuty Investigation Scenario

Step 1

AWS GuardDuty fires an alert titled “An IAM entity invoked an S3 API in a suspicious way” with an Exfiltration tag.

Step 2

The alert is sent to Dropzone AI for triage and investigation.

Step 3

Dropzone AI formulates a hypothesis for the alert, as a human analyst would, and then formulates the investigation steps required to test the hypothesis.

Step 4

Dropzone AI pulls data from AWS CloudTrail to see which files were accessed.

Step 5

Dropzone AI then pulls more AWS CloudTrail data to verify this type of activity is anomalous.

Step 6

While these findings make it look like this is malicious activity, Dropzone AI checks context memory for this environment. It finds that user 'citic-support' is scheduled to perform a backup of several S3 buckets, named in the format of test-bucket-*.

Step 7

Dropzone AI concludes the alert represents benign activity and can be closed.

USE CASES

Boost SOC performance with Dropzone AI and Amazon GuardDuty

Make sure that no cloud security alert slips under the radar, even low and medium priority ones.

Speed up response by beginning investigations within seconds of alerts firing.

Integrate AI-driven investigations into your existing workflows and tools. Dropzone AI works with your current setup so you see results immediately.

Let Dropzone AI identify false positives so that your analysts can focus on genuine threats and strategic projects.

Autonomous AWS Alert Investigation

Dropzone's AI analyst automatically investigates AWS GuardDuty alerts by mimicking the thought process of expert human analysts.

Note: everything in this demo is the actual output of our product in a realistic environment.

Get started with Dropzone AI and Amazon GuardDuty

Ready to learn more about how an AI SOC analyst can fit into your team? Fill out the form to schedule a call.

Resources

Self-Guided Demo

Test drive our hands-on interactive environment. Experience our AI SOC analyst autonomously investigate security alerts in real-time, just as it would in your SOC.

Self-Guided Demo Self-Guided Demo