Cutting Breach Detection Time From Days to Minutes
From finding out about a breach in the news to finding it first.
Overview
Corvale Insurance Group handles sensitive policyholder data across a hybrid cloud and on-prem environment. Their small security team was drowning in disconnected log sources and had no consistent way to detect lateral movement once an attacker was inside.
The Challenge
Security logs were scattered across a dozen systems with no correlation between them, so the team typically learned about incidents from downstream symptoms rather than the initial compromise.
- ›Logs spread across 12+ systems with no central correlation
- ›Average time to detect a confirmed incident exceeded 4 days
- ›No automated response — every alert required manual triage from a 3-person team
- ›Compliance reporting for audits took weeks of manually assembling evidence
The Solution
We centralized logging into a single detection platform, layered in behavioral detection rules tuned to the client's environment, and automated the first response steps for common alert types.
- ›Centralized log ingestion from cloud, endpoint, and network sources into one pipeline
- ›Deployed Sigma-based detection rules tuned to Corvale's actual traffic patterns
- ›Automated containment playbooks for common alert types (isolate host, revoke tokens)
- ›Built a compliance reporting module that assembles audit evidence automatically
Results
Corvale's team now detects and contains incidents in minutes rather than days, and audit preparation dropped from weeks to a single afternoon.
4d → 12min
Average time to detect an incident
-80%
Manual triage workload
12
Log sources unified into one pipeline
Weeks → hours
Audit evidence preparation time
“We went from hoping we'd notice something wrong to actually knowing, within minutes, when something is.”
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