Alpha Level develops a threat detection platform that combines machine learning-based anomaly detection with behavioral threat signals to identify security threats while reducing false positives. The company was founded in 2023 by Dr. Joshua Neil and Mike Pozmantier, building on research that originated at Los Alamos National Laboratory with the Pathscan network anomaly detection system. The platform addresses two core challenges in security operations: detecting unknown threats that evade traditional defenses and reducing alert overload that overwhelms security teams. By pairing anomaly detection capabilities with behavioral analysis, the system adapts to specific environments and helps security teams focus on genuine threats before they escalate into breaches. The company's technology foundation stems from Dr. Neil's work in applying machine learning to cybersecurity since 2000, including the development and commercialization of Pathscan through Ernst & Young in 2014. His subsequent experience at Microsoft and Securonix informed the development of Alpha Level's approach to managing alert fatigue while maintaining detection efficacy. Alpha Level targets enterprise security operations teams that need to improve threat detection accuracy while managing the volume of security alerts. The platform processes network and behavioral data to identify anomalous activities that may indicate security incidents, providing security analysts with prioritized alerts that require investigation.