Utilities Enterprise Achieves 75%+ False Positive Reduction with AI-Driven Intelligence

For critical infrastructure operators, signal noise is not an inconvenience — it is a direct threat to operational resilience. This utilities and energy enterprise with over 24,000 employees turned to Dataminr for Cyber Defense to replace fragmented, manual processes with unified intelligence operations built for the scale and stakes of modern critical infrastructure defense.

The Challenge

The organization’s threat intelligence program was struggling under its own weight. Excessive signal noise and poor-quality intelligence made it nearly impossible to surface and prioritize the threats that mattered. Security analysts were consumed by manual, time-intensive workflows that could not keep pace with the growing complexity of the threat landscape.

Compounding this, their SIEM, SOAR, and EDR platforms operated in isolation — each generating data that never coalesced into a coherent picture. The result was a fragmented operational environment where analyst time was spent on process overhead rather than defense, and the risk of missing a critical threat remained unacceptably high.

The Solution

The enterprise deployed the Dataminr Agentic Threat Intelligence Platform as the connective tissue across their security operations. Deep integration capabilities allowed the team to centralize intelligence across functions and automate complex workflows that had previously demanded hours of manual effort.

AI-powered threat scoring and enrichment enabled analysts to rapidly contextualize threats and surface related indicators in real time, cutting through the noise to reach what was actionable. The platform’s unified interface broke down the silos between teams, aligning threat, risk, and action in a single operational environment. With the platform in place, the security team could pivot quickly on emerging threats and redirect their energy toward proactive defense rather than false positive triage.

The Outcome

The results were measurable and immediate. The organization reduced false positives by more than 75%, fundamentally changing the daily experience of their security operations center. Analysts saw a marked reduction in workload, freeing capacity for strategic initiatives and high-priority threat work. Mean time to respond (MTTR) for standard incidents dropped significantly, strengthening the organization’s ability to detect and mitigate risks in real time.

The platform also amplified the effectiveness of the organization’s existing SIEM, SOAR, and EDR investments. As a Senior Intelligence Analyst on the team noted, the platform enabled them to quickly identify, contextualize, and enrich potential threats, transforming their approach to cybersecurity and reinforcing defenses across critical infrastructure.