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Case Study: LendingTree cuts alert noise by 90% with Lacework FortiCNAPP

LendingTree Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
LendingTree
Industry
Financial Services
Challenge
200 alerts a day, 10 hours to triage
Headline result
90% less alert noise and $200K saved a year

Key results

90%
Alert volume cut
with context-rich alerts
$200K
Saved per year
decommissioning existing tools
10h → 5min
Alert investigation time
10 hours/day to 5 minutes per alert

The challenge

LendingTree is a cloud-native financial services marketplace spanning AWS, Azure, and GCP, with legacy systems migrated in through acquisitions. The security team ran numerous tools across this multi-cloud estate and faced roughly 200 alerts a day, with frontline SOC staff spending about 10 hours a day triaging them. Limited visibility into containers and hosts made it hard to demonstrate secure cloud expansion and stay on top of compliance.

The solution

LendingTree adopted Lacework FortiCNAPP to consolidate security signals from cloud-native, logging, and third-party tools into one platform. Its patented anomaly-detection component baselined each user's cloud environment and alerted on unusual behavior, giving the team context-rich alerts and unified visibility across their multi-cloud footprint.

Everyone, even non-security teams, saw how Lacework FortiCNAPP could enable us to reach the next level of visibility, compliance, vulnerability management, and threat detection.

JT
John Turner
Senior Security Architect, LendingTree

The results, in context

LendingTree cut alert volume by 90% with context-rich alerts and reduced alert investigation time from 10 hours a day to 5 minutes per alert. The company saved $200,000 a year by decommissioning existing tools and generated SOC 2 compliance reports to pass audits and lower insurance premiums.

Products used

Lacework Lacework FortiCNAPP