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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 tool for visualizing AWS IAM and Organizations in a graph format with Neo4j, supporting anomaly detection and custom data processing.
A low Interaction Client honeypot designed to detect malicious websites through signature, anomaly and pattern matching techniques.
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.