New Delhi: Cloud security firm Zscaler has signed a definitive agreement to acquire Red Canary, a US-based company known for its Managed Detection and Response (MDR) capabilities. The proposed acquisition, expected to close by August 2025, marks Zscaler’s move to deepen its presence in AI-driven security operations.
Zscaler, which operates what it claims is the world’s largest cloud security platform, aims to combine its existing AI-powered Zero Trust Exchange platform with Red Canary’s capabilities in threat detection and automated remediation.
According to Zscaler, this integration will help address ongoing challenges in security operations, including delayed threat response and fragmented analysis across cloud, identity, endpoint and network layers.
Red Canary, which has worked in the MDR space for over a decade, has built a reputation for automating detection and response workflows. It has been consistently recognised by industry analysts, including Forrester and Gartner, for its performance in the MDR category.
The acquisition follows Zscaler’s recent investments in AI-led risk management and data technologies, such as Risk360 and Avalor. By bringing Red Canary into its fold, Zscaler appears to be focusing on delivering a more cohesive and autonomous Security Operations Centre (SOC), combining AI tools with human analyst expertise.
Zscaler says its platform processes over 500 billion transactions daily and serves nearly 45% of Fortune 500 companies. The data generated from this volume is expected to support Red Canary’s detection engineering and threat intelligence functions more robustly after the merger.
The deal is subject to customary closing conditions and regulatory approvals. Zscaler has indicated that it will share further integration plans once the transaction is finalised. The company also cautioned that forward-looking statements in this announcement are subject to risks, including the successful integration of Red Canary and the retention of key talent post-acquisition.








































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