ITRS launches Dynamic Thresholds to slash alert noise and accelerate incident response
London, UK, June 30, 2025, ITRS, global leader in real-time monitoring and observability for highly regulated industries, today unveiled Dynamic Thresholds – a smarter, scalable approach to alerting that adapts in real time.
Part of ITRS Analytics, Dynamic Thresholds continuously learn from historical trends, seasonal patterns, and live data fluctuations to create context-aware alert boundaries. By replacing rigid static limits with adaptive models, operations teams can:
- Minimize false positives and reduce alert fatigue
- Detect subtle anomalies earlier to prevent incidents
Scale effortlessly as infrastructure grows and changes
“Dynamic Thresholds give our customers a sharper edge in detecting emerging risks while cutting through the noise that overwhelms teams,” said Martin Nilsson, CPO at ITRS. “This is critical for financial trading and payment systems, where milliseconds and precision matter, as well as for mission-critical environments across industries.”
With seamless integration into existing monitoring workflows, Dynamic Thresholds help organizations modernize observability, improve operational efficiency, and restore trust in automated alerting.
Learn more about Dynamic Thresholds in ITRS Analytics
About ITRS
ITRS is the global leader in real-time monitoring and observability for mission-critical, highly regulated environments. Trusted by 90% of Tier 1 capital markets firms and thousands of enterprises worldwide, we deliver deep, actionable insights that keep complex, hybrid IT ecosystems resilient, compliant, and always-on. Our solutions span on-prem, cloud, and containerized environments—empowering IT teams to prevent outages, accelerate root cause analysis, and optimize performance where it matters most. Whether powering low-latency trading platforms, safeguarding digital banking, or ensuring uptime for critical web services, ITRS helps the world’s most demanding organizations stay one step ahead.