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  • SentinelOne and Cloudflare Expand Collaboration to Offer Enterprises Real-Time Threat Detection and Automated Response

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SentinelOne and Cloudflare Expand Collaboration to Offer Enterprises Real-Time Threat Detection and Automated Response

by Grandangolo Communications / Wednesday, 18 March 2026 / Published in SentinelOne

SentinelOne's Singularity AI SIEM solution integrates Cloudflare Logpush telemetry to enhance companies' security posture

SentinelOne (NYSE: S), a global leader in AI-powered cybersecurity, e Cloudflare Inc (NYSE: NET), a leader in cloud connectivity, expands partnership to offer mutual customers AI-powered insights with an intuitive, unified experience. The synergy between Cloudflare's global infrastructure network and SentinelOne's Singularity™ AI-powered SIEM platform will improve real-time threat detection and response for businesses of all sizes. With new capabilities, customers of both companies will be able to automatically apply AI-based correlation from Cloudflare Logpush telemetry data and native SentinelOne alerts across endpoint, cloud, identity and AI. As a result, security teams will be able to automate the detection, analysis and response to threats as they move from the Internet perimeter to adjacent environments.

Security data is growing dramatically and attack surfaces are expanding. To keep pace, organizations must fundamentally rethink autonomous threat detection. Security teams are moving away from single, disintegrated products and fragmented data. Instead, they need platforms that can correlate data from edge devices, endpoints, cloud, identity and more. This unified approach reduces complexity and improves outcomes, freeing up security analysts to focus on the most relevant threats.

The integration brings Cloudflare Zero Trust and edge network telemetry data, including Gateway, Access and WAF logs, directly into SentinelOne's Singularity platform. For customers of both platforms, this creates a single, unified command center that improves visibility, context, threat investigation, and response to more sophisticated threats and techniques. Customers can set up the Singularity platform with just a few clicks to be the native Logpush destination within the Cloudflare dashboard, resulting in immediate ROI.

“The expanded partnership with Cloudflare demonstrates the potential that can be unleashed when two innovators come together with a common purpose,” said Melissa K. Smith, SVP, Global Strategic Partnerships & Initiatives at SentinelOne. "By unifying global network telemetry and AI-powered analytics from Cloudflare with intelligence from our AI-powered SIEM, we enable security teams to automate correlation and response at the edge and enterprise, reducing manual work and helping analysts focus on the most important threats. Together, we deliver protection that is stronger, easier to manage, and designed to grow with the needs of modern security teams."

“Expanding collaborations with key technology partners like SentinelOne is critical to further interconnect our global infrastructure network and protect even more customers,” said Tom Evans, Chief Partner Officer at Cloudflare. "Organizations around the world are dealing with an increasing number of potential threats, and now with AI from Cloudflare and SentinelOne, they can automate threat analysis and detection from a single platform. We want to ensure that organizations can clearly see AI-based correlations and implement the right protections to improve their security posture."

SentinelOne's Singularity AI SIEM solution provides security teams with the core technology that drives their vision of an autonomous SOC, designed to operate on real-time data rather than static logs. Using an integrated data pipeline, AI SIEM applies intelligence data directly to streaming telemetry, identifying and filtering risks early in the attack lifecycle to reduce the number of false positives and enable faster, more efficient detection.

By integrating real-time telemetry with agentic AI and hyperautomation, the Singularity AI SIEM solution automates end-to-end investigation and resolution, eliminating manual steps between detection and action. The result is an SOC that shifts from reactive alert management to proactive automated response, enabling analysts, regardless of skill set, to investigate and neutralize threats quickly and confidently.

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