KROHNE Advances Pipeline Leak Detection With AI, Cybersecurity Integration

KROHNE will introduce a new generation of internal pipeline leak detection technology at the 2026 API Pipeline Conference, expanding its portfolio of monitoring solutions for liquid and gas pipelines.

The new platform is built on Computational Pipeline Monitoring using Extended Real-Time Transient Models, augmented by artificial intelligence and machine learning. The approach is aimed at improving detection sensitivity, creating fewer false alarms, and ensuring greater stability across different operating conditions—including rapid identification of small leaks, product theft, and illegal tappings.

Cybersecurity is embedded into the system architecture rather than needing to be added after the fact. As OT and IT environments converge, KROHNE's design addresses the expanded attack surface through secure architectures, lifecycle protection, standards alignment, and continuous vulnerability management—applied to both new installations and existing pipeline infrastructure.

The platform integrates with SCADA, DCS, integrity management tools, and third-party systems, consolidating data from multiple sources into unified environments for real-time visualization, reporting, and decision support. Operators can manage pipeline performance and condition from a single interface.

KROHNE will also present a Monitoring as a Service model that shifts from traditional project-based delivery to a continuous-availability, subscription-style operational framework—reducing capital expenditure and day-to-day operational burden while maintaining safety and compliance requirements.

The 2026 API Pipeline Conference takes place in Washington, D.C.

For more information, visit us.krohne.com.