Anomaly Detection
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A network detection and response platform that uses machine learning to analyze network metadata for threat detection without requiring hardware sensors or being affected by encryption.
A network detection and response platform that uses machine learning to analyze network metadata for threat detection without requiring hardware sensors or being affected by encryption.
Cloud runtime security platform that uses eBPF technology to monitor cloud infrastructure, detect anomalies, and identify potential security threats in real-time.
Cloud runtime security platform that uses eBPF technology to monitor cloud infrastructure, detect anomalies, and identify potential security threats in real-time.
A Zeek-based protocol analyzer that parses GQUIC traffic to extract connection metadata and create fingerprints for detecting anomalous network behavior.
A Zeek-based protocol analyzer that parses GQUIC traffic to extract connection metadata and create fingerprints for detecting anomalous network behavior.
A defense-in-depth security automation framework for AWS that combines threat intelligence, machine learning, and serverless technologies to prevent, detect, and respond to threats through automated security telemetry collection and analysis.
A defense-in-depth security automation framework for AWS that combines threat intelligence, machine learning, and serverless technologies to prevent, detect, and respond to threats through automated security telemetry collection and analysis.
A repository of officially managed detection rules for the Falco runtime security monitoring system that identifies threats, abnormal behaviors, and compliance violations through syscall and container event analysis.
A repository of officially managed detection rules for the Falco runtime security monitoring system that identifies threats, abnormal behaviors, and compliance violations through syscall and container event analysis.
A low interaction client honeypot that detects malicious websites using signature, anomaly and pattern matching techniques with automated URL collection and JavaScript analysis capabilities.
A low interaction client honeypot that detects malicious websites using signature, anomaly and pattern matching techniques with automated URL collection and JavaScript analysis capabilities.
ElastAlert is a framework for alerting on anomalies in Elasticsearch data.
Netcap efficiently converts network packets into structured audit records for machine learning algorithms, using Protocol Buffers for encoding.
Netcap efficiently converts network packets into structured audit records for machine learning algorithms, using Protocol Buffers for encoding.
A machine learning-based approach to detect and prevent data breaches using natural language processing and machine learning algorithms.
A machine learning-based approach to detect and prevent data breaches using natural language processing and machine learning algorithms.