SentinelOne and Cloudflare have expanded their strategic partnership to deliver a more unified and AI-driven security experience for joint customers. As cyber threats grow in scale and sophistication, both companies are focusing on integrating their capabilities to provide real-time threat detection, faster response, and improved operational efficiency across modern enterprise environments.

Through this enhanced collaboration, the companies are combining Cloudflare’s global infrastructure network with SentinelOne’s Singularity AI SIEM. As a result, organizations can now leverage AI-driven insights within a single, intuitive platform. This integration enables automatic correlation of Cloudflare Logpush telemetry with SentinelOne’s native signals spanning endpoints, cloud environments, identity systems, and AI-driven workflows. Consequently, security teams can detect, investigate, and respond to threats more effectively as they move from the internet edge into broader enterprise ecosystems.

At the same time, the growing volume of security data and the rapid expansion of attack surfaces are pushing organizations to rethink traditional security models. Previously, many relied on fragmented tools and siloed data sources, which often created inefficiencies and blind spots. However, this partnership addresses those challenges by delivering a unified platform that correlates signals across multiple domains. Therefore, security teams can reduce complexity while gaining deeper visibility into evolving threats. More importantly, this approach allows analysts to prioritize critical risks instead of managing overwhelming alert volumes.

The integration also brings Cloudflare’s Zero Trust and edge network telemetry including Gateway, Access, and WAF logs directly into SentinelOne’s Singularity Platform. As a result, customers gain a centralized command center for monitoring, investigation, and response. Additionally, organizations can quickly configure the platform to act as a native Logpush destination within the Cloudflare dashboard, ensuring faster deployment and immediate time-to-value.

“Our expanded partnership with Cloudflare shows what’s possible when two innovators come together with a common purpose,” said Melissa K. Smith, SVP, Global Strategic Partnerships & Initiatives, SentinelOne. “By unifying Cloudflare’s global network telemetry and AI-driven insights with the intelligence of our AI SIEM, we are enabling security teams to automate correlation and response across edge and enterprise, reducing manual effort and helping analysts focus on the threats that matter most. Together, we are delivering protection that is stronger, easier to operate and designed to scale with the needs of modern security teams.”

“Expanding our partnership with key technology alliance partners like SentinelOne is core to how we are further interconnecting our global infrastructure network to secure even more customers,” said Tom Evans, Chief Partner Officer at Cloudflare. “Organizations worldwide are facing a growing number of threat signals, and now with Cloudflare and SentinelOne’s intelligence, they can automate that action and analysis from a single platform. We want to make sure that organizations can clearly see the AI-driven correlations and enforce proper protections to improve their security posture.”

Furthermore, SentinelOne’s Singularity AI SIEM plays a central role in enabling this transformation. Built to operate on live data instead of static logs, the platform uses a built-in data pipeline to analyze streaming telemetry in real time. This allows organizations to identify risks earlier in the attack lifecycle, reduce noise, and improve detection accuracy. In addition, by leveraging Agentic AI and hyperautomation, the platform automates investigation and remediation processes end-to-end.

Ultimately, this partnership signals a shift toward Autonomous Security Operations Centers (SOC), where detection and response are increasingly automated. By eliminating manual steps and enhancing real-time intelligence, SentinelOne and Cloudflare are enabling organizations of all sizes to move from reactive security models to proactive, AI-driven defense strategies.

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