Palo Alto Networks Completes Chronosphere Acquisition, Unifying Observability and Security for the AI Era

Palo Alto Networks, the global cybersecurity leader, led by Nikesh Arora, and others, has announced it has completed its acquisition of Chronosphere, led by Martin Mao, addressing a core challenge of the AI era: the inability to see and secure the massive data volumes running modern businesses.

Chronosphere, recognized as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms, was built for large-scale cloud-native environments. The acquisition positions Palo Alto Networks to deliver real-time visibility across applications, infrastructure, and AI systems while tightly controlling data cost and value.

The integration of Palo Alto Networks Cortex AgentiX with Chronosphere’s observability platform will enable AI agents to automatically detect and resolve security and IT issues before business impact. The acquisition provides critical context across models, prompts, users, and performance, enabling a shift from manual troubleshooting to autonomous remediation.

Nikesh Arora stated that enterprises increasingly prefer fewer vendors, deeper partnerships, and reliable platforms for mission-critical security and operations. Chronosphere strengthens Palo Alto Networks’ goal to become a core platform for cloud and AI security, reinforcing the view that deep data visibility is the foundation of effective security.

Martin Mao said Chronosphere was built to help complex digital organizations operate at scale and that joining Palo Alto Networks expands AI-era observability to a global audience. The partnership aims to unify observability, security, and AI to give organizations greater control over data.

The Chronosphere Telemetry Pipeline will remain a standalone offering, reducing the “data tax” by filtering low-value telemetry and cutting data volumes by 30% or more while requiring up to 20× less infrastructure than legacy tools. The pipeline will support Palo Alto Networks’ Cortex XSIAM strategy by enabling scalable, AI-driven security operations without proportional cost growth.