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How PayU Cut Threat Response Timelines by 98% Without Disrupting Peak Transaction Performance

How PayU Cut Threat Response Timelines by 98% Without Disrupting Peak Transaction Performance

Industry
Fintech
Headquarters
Hoofddorp, Netherlands
Founded
2002
10+ PB
Data under management across the payments data estate.
98%
Faster response to risky database activity, flagged and remediated within minutes.
52 days
Manual audit and compliance effort saved annually through automated DAM reporting.

Customer Overview

PayU is a prominent global financial services provider operating across high-growth fintech markets. Managing millions of highly sensitive, high-frequency transactions daily, the company operates under stringent regulatory mandates where transaction latency tolerances are near zero and data governance is non-negotiable. To protect its massive transactional throughput without introducing operational bottlenecks, PayU partnered with Matters.AI to replace reactive monitoring with real-time, autonomous data defense.

Core Challenges
  • Static and Reactive Posture Management: The security team lacked a live, continuous view of data residency and classification across environments, leaving them reliant on manual log reviews after incidents occurred.

  • High-Friction Compliance Operations: Generating evidence for strict regulatory bodies required intensive manual data filtering through rigid reporting structures, draining over 50 engineering days annually.

  • Latency Risks from Legacy Scanning: Standard security tool testing and full-disk data scanning threatened production availability, creating unacceptable risks to transaction processing speeds during peak traffic windows.

What Changed with Matters.AI
  • From Reactive Triage to Autonomous Prevention: Replaced the slow, manual alert-to-ticket workflow with real-time, database-layer telemetry that automatically blocks unauthorized query patterns and bulk data movement instantly.

  • From High-Risk Scans to Zero-Disruption Governance: Optimized the platform’s footprint to run effortlessly under a fraction of a percent of system resources, scheduling deep data discovery during off-peak hours to guarantee zero impact on core transaction engines.

  • From Manual Auditing to Automated Compliance: Embedded automated, customizable reporting and continuous data classification directly into the infrastructure, transforming regional regulatory alignment into a seamless, always-on operation.

Matters’ Impact

  • Petabyte Scale Under Management
    Brought over 10 PB of distributed data assets across PayU’s payments estate under continuous management, with zero disruption to core transaction engines.
  • Continuous Database Activity Monitoring
    Deployed DAM across production databases to watch every access and query in real time, surfacing risky activity, misconfigurations, and bulk data movement the moment it happened rather than in a periodic scan.
  • 98% Faster Response, with Remediation Built In
    Paired monitoring with automated remediation to cut response time by 98%, containing risky database activity and driving critical alerts to action within minutes instead of hours.
  • Compliance Overhead Cut by 52 Days a Year
    Replaced manual audit and reporting pipelines with automated DAM reporting and continuous classification of sensitive financial data, saving 52 days of effort annually and keeping audit evidence always current.

Strategic Takeaway

In high-frequency fintech environments, relying on human response times means you are already too late. By the time an analyst reviews a traditional alert, the data has moved. Matters.AI allowed us to transition from a reactive posture to autonomous, real-time data prevention—safeguarding our scale without compromising a single millisecond of transaction performance.

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