Modern enterprises generate large volumes of security data across network, identity, endpoint, email, cloud, and SaaS environments, but these signals are often scattered across disconnected tools. As a result, security teams struggle to correlate events, understand user intent, and differentiate between normal activity and real threats. Activities such as unusual logins, phishing attempts, spikes in downloads, or blocked URLs often lack the necessary context from identity, device, and behavior data, making investigations more difficult and time-consuming. Without unified and correlated telemetry, visibility remains fragmented, slowing down incident response and increasing the risk of missed threats. To address these challenges, organizations require AI-powered security operations that cons

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