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AI-powered SOC alert investigation platform reducing false positives and analyst burnout.

AI-powered SOC alert investigation platform reducing false positives and analyst burnout.
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Embed Security is a cybersecurity company that provides an AI-driven alert investigation and triage platform designed for Security Operations Center (SOC) teams. The platform uses agentic AI to automatically investigate security alerts, prioritize threats, and reduce the volume of false positives that analysts must manually review. The core product addresses common SOC challenges including alert fatigue, analyst burnout, missed threats, and rising operational costs associated with legacy security tooling. Rather than relying on static, pre-built playbooks, the system dynamically investigates evolving threats and adapts its reasoning to the specifics of each incident as it unfolds. A key design principle of the platform is transparency and explainability. Instead of simply flagging suspicious activity, the system provides analysts with the full reasoning behind each alert investigation, offering context and clarity for every case. This approach is intended to build analyst trust in AI-assisted decision-making. Target customers include enterprise security teams and organizations with active SOC operations. Documented customers include SpencerFane (a law firm), the University of Montana, and an automotive technology organization. One customer reported saving approximately 155 analyst hours per month over a 90-day period. The company holds a SOC 2 certification, as indicated by the AICPA SOC logo displayed on its website. Embed Security positions its offering as an alternative to both legacy rule-based tools and generic off-the-shelf AI agents, emphasizing reliability, speed, accuracy, and explainability in automated alert investigations.