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Cloud backend for SNOW platform: telemetry storage, ML anomaly detection & IR.
Cloud backend for SNOW platform: telemetry storage, ML anomaly detection & IR.
Snow Cloud is the backend analysis and management component of Arc4dia's SNOW platform, designed to support endpoint telemetry collection, storage, and analysis at scale. The platform records and detects native execution of binaries, loading of modules, file system and registry changes, and network connections. This continuous data collection enables the construction of timelines used for root cause analysis and incident response. Key backend capabilities include: - Remote management of sensor capabilities deployed across endpoints - Telemetry storage with integrity protection to preserve evidence quality - Anomaly detection using machine learning-based heuristic and statistical analysis - Automatic aggregation and organization of detected anomalies into structured investigations Snow Cloud enables analysts to determine whether a compromised host is a patient zero or a downstream victim within an enterprise, observe the full kill chain, and integrate threat intelligence in near real time. Event correlation is performed at both micro and macro levels with time synchronization, enabling rapid incident response timelines.
Common questions about Arc4dia Snow Cloud including features, pricing, alternatives, and user reviews.
Arc4dia Snow Cloud is Cloud backend for SNOW platform: telemetry storage, ML anomaly detection & IR. developed by Arc4dia. It is a Security Operations solution designed to help security teams protect their infrastructure.
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