• Detection of network incidents that required advanced statistics to be applied.

• Correlation of events from multiple sources that were generating silos between development and production environments.

• Integration of the company’s own applications, developed in-house.

Monitoring and Detection:

• Integration with the company’s network devices.

• Comprehensive monitoring with investigative capabilities.

• Reduction in investigation times by 20%.

Advanced Statistics on Transactions:

• Application of advanced statistics to transactional information.

• Ability to anonymize information, complying with industry regulations and standards for data processing.

• Generation of custom business rules for fraud detection.

• Business.

• Information Security.

• Fraud (business area).

Operating System:

• Linux

• Windows

Custom:

• Banking transactions.

• In-house developed applications; multiple programming languages, platforms, and operating systems.

• Monitoring of business and transactional processes, with the ability to apply customized statistics using Splunk modules and Machine Learning.

• Reduction in Mean Time to Identify (MTTI) and Mean Time to Recover (MTTR) by at least ~20%.

• Creation of an investigation platform that allows root cause investigation of possible network incidents in minutes.

• Integration with the company’s own applications, an achievement that no other platform had accomplished in two years.

• Integration with existing alerting systems with the internal network monitoring team.