Dropzone AI + Splunk Integration: Automate Alert Investigations

Accelerate response times and eliminate manual SPL queries with autonomous investigations powered by Dropzone AI.

Why Dropzone AI

Investigate every Splunk detection in minutes

Dropzone AI integrates directly with Splunk Enterprise Security (ES) to automate security alert investigations, reducing Mean Time to Conclusion (MTTC) by 90%. Every Splunk detection receives autonomous investigation within minutes.

Unlike generic AI SOC tools, Dropzone is purpose-built for Splunk through integration with the Common Information Model (CIM). It uses optimized queries and learns your team's specific CIM usage, adapting to your indexes, macros, and query structures without impacting Splunk performance.

See the Splunk integration

90% reduction in Mean Time to Conclusion (MTTC)

Automated investigations replace manual SPL query writing, turning every Splunk alert into a completed alert investigation report in minutes.

Speed up Mean-Time-to-Conclusion (MTTC) with AI automation.

The Dropzone AI SOC analyst immediately starts investigations when alerts hit the SOC queue, delivering conclusions in minutes. Our integration is configurable to your environment, fine-tuning which indexes to query, which macros to use, and query structure (vital because every enterprise uses Splunk uniquely).

Dropzone continuously learns your patterns, investigating alerts the way your expert analysts do. It seamlessly integrates with Windows Event Logs, Okta, AWS CloudTrail, and other data sources to gather context for investigations. Finally, teams can quickly investigate 100% of their alerts.

Dropzone AI on Splunkbase

HOW IT WORKS

Splunk Investigation Scenario

Automated Splunk ES Investigation: Real-World Example

Step 1

Alert Detection:

Splunk detects a potentially malicious PowerShell process execution and sends the alert to Dropzone AI for triage and investigation.

Step 2

Hypothesis Formation:

Dropzone formulates a hypothesis, as a human analyst would, then determines investigation steps. Using Splunk's CIM and optimized data model queries, it efficiently gathers relevant context.

Step 3

Contextual Analysis:

The AI SOC analyst investigates the user who initiated the script, discovering they are a developer. The investigation also reveals Git operations consistent with developer activity.

Step 4

Threat Assessment:

Performance-optimized Splunk searches find no calls to external sources to initiate the script (a key malicious indicator).

Step 5

Conclusion:

Dropzone concludes the alert is a false positive, saving SOC time. Investigation details are stored in Context Memory.

Step 6

Step 7

USE CASES

Boost SOC performance with Dropzone AI and Splunk

Complete Alert Coverage:

Every Splunk alert receives rigorous investigation automatically through purpose-built integration.

Instant Investigation Response:

Investigations start immediately via Splunk's REST API, shrinking MTTC by 90%.

Optimized for Performance:

Dropzone leverages Splunk's CIM and data models for cost-effective queries, preventing dangerous searches.

Configurable to Your Environment:

Fine-tune indexes, macros, and query structures to match your Splunk usage with continuous learning.

Product Tour - Splunk

See a product tour of Dropzone AI automating a Splunk ES alert investigation

Dropzone AI | Splunk Enterprise Security

Autonomous Splunk Enterprise Security Investigation

Dropzone's AI SOC analyst automatically investigates Splunk Enterprise Security alerts providing you with a full investigation report and findings.

Get started with Dropzone AI and Splunk

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