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Case Study Thirty Madison | Gem Security

gem.security · 292 words · saved by 1 readers

We had to build all of our detection on AWS and Azure from scratch. It was too manual - we needed to increase our coverage faster. Thirty Madison is a leading online pharmacy and healthcare provider. Through its brands Keeps, Cove, Nurx, Picnic, and Facet, the company provides over 800,000 patients with prescriptions, care, and treatment for everything from hair loss to allergies. The company chose to partner with Gem to accelerate its cloud detection and response program. With Gem's out-of-the-box CDR, Thirty Madison rapidly addressed cloud visibility and detection blindspots, and enabled automated triage to reduce Mean Time to Respond (MTTR) to cloud threats. Thirty Madison wanted to improve its cloud detection coverage and automate manual processes to reduce Mean Time to Respond (MTTR) The company used leading cloud security tools, but still had incomplete visibility over their cloud environment, and triaging cloud alerts in the SIEM was too manual and too time consuming As the secu

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