Case Study: Large Technology Company achieves 99% alert-noise reduction and 24–48 hour threat investigations with Vectra AI Inc.

Vectra Streamlines Investigation Process to 24 Hours for Technology Company

A security operations team at a mid-sized tech services company (1,001–5,000 employees) was overwhelmed by high-volume network noise and limited internal visibility, making it hard to detect and investigate malicious activity across the full kill chain, lateral movement, and unauthorized devices. They needed a way to correlate seemingly unrelated events, quickly identify responsible owners for servers and services, and prioritize the signals that mattered.

By deploying Vectra AI with Ixia taps and integrating their CMDB via APIs, the team captured and enriched network metadata at scale, triaged threats, and correlated alerts to compromised hosts. The platform distilled roughly 89,000 concurrent IPs down to under 1,000 for investigation, filtered out about 99% of noise, and reduced time-to-validate incidents to 24–48 hours—dramatically improving detection of internal threats and response capability. Initial tuning was required to reduce false positives, and reporting customization remains an area for improvement.