Splunk Intelligence Management



Splunk Customer Fact

Valuable Capabilities of Splunk Intelligence Management

A large enterprise computer software company said that these capabilities of Splunk Intelligence Management have been most valuable:

  • Automated curation and normalization of intelligence sources
  • Ease of disseminating intelligence into other tools

Splunk Customer Satisfaction Rating

John Vu, a Consultant at IBM Corporation, would be very likely to recommend Splunk for this reason:

Great Intelligence gathering.

Splunk Customer Fact

Splunk Intelligence Management Drives Results for IBM Corporation

Since using Splunk Intelligence Management, IBM Corporation has experienced reduced mean time to detect (MTTD), reduced mean time to response (MTTR), and analyst time saved on repetitive tasks.

Splunk Case Study

The Sports-ISAO Program of the Cyber Resilience Institute Benefits from Splunk Intelligence Management

Introduction

This case study of (Sports ISAO) Cyber Resilience Institute is based on an April 2022 survey of Splunk customers by TechValidate, a 3rd-party research service.

“The graph representations are very useful, as is the ability to pivot across the data set.” — Jane Ginn, Co-Founder, Sports-ISAO

Challenges

Sports-ISAO faced these business challenges that led them to evaluate and ultimately select Splunk Intelligence Management:

  • The manual curation of multiple data sources
  • Data silos between teams and tools
  • Overwhelmed with alerts and limited ability to prioritize them
  • Data governance – difficulty sharing data securely across teams and external trusted groups

Prior to adopting Splunk, the organization managed intelligence with a threat intelligence platform (TIP).

Use Case

Sports-ISAO has found the automated curation and normalization of intelligence sources to be the most valuable capability for their organization:

Results

Sports-ISAO experienced these important benefits since using Splunk Intelligence Management:

  • They’ve saved analyst time on repetitive tasks.
  • The team has realized a reduction of up to 2-3 hours of analyst time spent per day.