poka-case-study.png     Sift Case Study

 

Eliminating Complexity and Making a Small Team Exceptionally Efficient

Sift is a leader in the digital trust and safety industry. Their AI and machine learning-based engine analyzes over 35 billion transactions per month and prevents fraud for global brands. As part of their digital transformation initiative, Sift was loading massive Google Cloud Platform (GCP) logs into their SIEM. This would have required Sift to expand their SIEM capacity and add 10+ headcount to write rules and investigate alerts.

Sift recognized that their current approach was not scalable and decided to invest in a consolidated solution that could meet their budget, time, capability, and efficiency requirements. Enter Lacework.

Read the case study to learn how Lacework unlocked greater efficiency for Sift, allowing Sift to:

  • Reduce their security budget by 50%
  • Accelerate their security roadmap by more than six months
  • Improve file integrity monitoring, vulnerability detection, intrusion detection, and additional compliance reporting capabilities to support their upcoming SOC 2 certification


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