Cybersecurity

The Challenge

A major Canadian financial institution struggled with manual processes for threat detection and response, leading to inefficiencies, delays, and an overburdened security team. The sheer volume of data from modern threat feeds made it difficult for the team to prioritize and act on critical vulnerabilities, leaving their security posture reactive and at risk.

The Solution

The institution adopted Dataminr’s AI-powered capabilities and advanced threat intelligence. Key features included automated data aggregation, scalable workflows, enhanced threat intelligence visualization, and improved team collaboration.

The Outcome

The results delivered remarkable advancements in critical areas:

  • Detection and response time improved from 75% to 99%, enabling quicker threat mitigation.
  • False positives were reduced by 50% to 74%, allowing analysts to concentrate on genuine threats.
  • Analyst efficiency surged by up to 99% through the automation of manual tasks.
  • Team collaboration strengthened through unified workflows and enriched intelligence, promoting seamless communication and more effective decision-making across security teams.

These improvements helped the institution strengthen its security posture while enabling teams to operate more efficiently and proactively.

Dataminr for Cyber Defense

Transform intelligence into a preemptive cyber advantage from first signal to risk-prioritized action.

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August 26, 2025
  • Cybersecurity
  • Cyber Risk
  • Case Study