HealthcareSecurity Operations

How Doctolib Built an In-House SOC with Elastic Security, Cutting False Positives by 50%

Doctolib, Europe’s leading e-health platform connecting 90 million patients with 400,000 healthcare professionals, replaced an outsourced OpenSearch-based SOC with an in-house security operations center built on Elastic Security. The migration cut false positives by 50%, extended data retention from one month to one year, and enabled Doctolib to manage 12 times more log data while reducing cost per terabyte by 83%.

Outcomes

50%Reduction in false positives
12xIncrease in data managed
1 month to 1 yearData retention period extended
83%Reduction in cost per terabyte

Tools & Technologies

1ES
Elastic Security
SIEM and security analytics platform for threat detection, investigation, and response at scale.

AI Categories

Challenge

Doctolib’s outsourced SOC on OpenSearch generated frequent false positives, limited data retention to one month, and couldn’t scale cost-effectively with the platform’s growth—leaving a 90-million-patient e-health platform underprotected and analysts overloaded with noise.

Solution

Elastic Security was deployed as Doctolib’s in-house SIEM, centralizing log collection across all data sources, applying machine learning for automated threat detection, and running on AWS to enable elastic scaling of both data volume and retention period.

Full Story

Doctolib operates as the dominant digital health platform in Europe, serving 90 million patients and 400,000 healthcare professionals across France, Germany, Italy, and the Netherlands. As a platform handling sensitive patient data under strict healthcare regulations, the security demands are acute—and the consequences of a breach extend beyond financial loss into patient safety.

Access 456+ AI use cases, 428+ tools, and adoption signal rankings.

Source

Similar Cases

1C
How CirrusMD Uses Writer to Achieve 234% More Benefits Referrals
CirrusMD
234%Increase in physician direction to benefits
2ES
How Epic Systems Uses Claude Code to Bring AI Development Beyond Engineering
Epic Systems
Over 50%Claude Code usage from non-developers
3A
How AstraZeneca Accelerates Drug Discovery with GitHub Copilot and Actions
AstraZeneca
40%Developer velocity increase with GitHub Copilot
4I
How InpharmD Uses Pinecone & RAG to Boost Clinical Query Accuracy by 70%
InpharmD
80%Data Storage Cost Savings
5IH
How Intermountain Health Reduces Clinician Burnout 27% with Microsoft Dragon Copilot
Intermountain Health
27% per appointmentNote Time Reduction
6SL
How St. Luke’s Health Network Saves 200 Hours Monthly with Security Copilot
St. Luke's University Health Network
~200 hoursMonthly hours saved on phishing alert triage
7BL
How Bank Leumi Cuts Security Detection Time 60% with Elastic
Bank Leumi
-60%Log detection and analysis time
8C
How Curology Uses Writer to Scale AI Content Across Five Teams
Curology
50%Productivity increase per Writer user
9QH
How Qualified Health Uses Claude to Screen Millions for Life-Saving Treatments
Qualified Health
1M+Patient population screened
10F
How FinThrive Uses Databricks AI/BI Genie to Cut Query Time from Days to Minutes
FinThrive
Under 24 hours (down from 3–5 days)Data query response time
See all use cases →