LendingTree cuts alert noise by 90%, transforming visibility across their multicloud environment

LendingTree cuts alert noise by 90%, transforming visibility across their multicloud environment
Amazon Web Services (AWS), Google Cloud, Microsoft Azure
Featured Impact
Slashed alert volume from 200 to 5 context-rich alerts per day while reducing alert investigation time from 10 hours to 5 minutes per alert

We avoided hiring four full-time employees, eliminated spend on the human resource side, and freed up resources that we already had.

John Turner, Senior Security Architect, LendingTree

LendingTree is a financial services marketplace. Founded in 1996, they began in the mortgage space before branching out into student loans, small business loans, and the insurance business. Their goal is to provide an easy-to-navigate platform that allows consumers to make the best decisions possible for their financial health. The organization places a high value on developing secure products and services for consumers — not to mention innovating as quickly as possible to stay ahead of the competition.


LendingTree was faced with the increasing complexity of multicloud environments in a highly competitive industry. Hundreds of inactionable alerts took their team 10 hours per day to triage. They also needed to increase visibility into their containerized environments. With ever-changing compliance standards, it was critical for them to meet the requirements of regulators and partners.


With Lacework, LendingTree established a partnership that allows both organizations to scale alongside one another. The Lacework Polygraph® Data Platform instantly reduced alert noise while increasing visibility across their environments. With support from LendingTree’s DevOps and infrastructure teams, the decision to adopt Lacework was unanimous.


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