Corvil
33 Case Studies
A Corvil Case Study
A global law firm that advises multinationals and high‑profile technology start‑ups sought to strengthen its security operations after high‑profile ransomware incidents at other firms. Although it already had strong data protection and privacy controls for collaboration and storage, the firm lacked visibility into compromised accounts and suspicious or careless user activity and had limited tools to efficiently investigate the source and scope of incidents.
Corvil deployed user‑centric network traffic analysis with machine learning to visualize anomalous user behavior, correlate user activity with host events, automate context gathering, and enable single‑click file extraction, impact assessment and response, with integrated Splunk workflows and proactive health monitoring of access control infrastructure. As a result the firm gained better control over the client experience—expanding insider‑threat detection, strengthening data protection through user activity visibility, reducing mean time to detect and respond, cutting alert fatigue, simplifying compliance auditing, and minimizing security impact on performance and productivity.
Global Law Firm