Anomaly Detection

AI-powered DMARC monitoring and email authentication security platform

Cloud cost management platform that provides optimization recommendations

AI-powered XDR platform with proactive threat detection and remediation

AI-powered email and collaboration security platform for threat detection

Big data log management platform for collection, parsing, storage & analysis

Database audit system for real-time monitoring and compliance reporting

XDR platform with AI-powered threat detection, investigation, and response

AI-powered identity visibility and threat detection solution

Monitors identities for threats and provides remediation recommendations.

Identity threat detection and response solution for account protection

Identity threat detection & response platform for Active Directory security

Identity security platform for threat detection and access management

Web application firewall protecting against OWASP Top 10, DDoS, and zero-day

Real-time threat detection and monitoring platform with SIEM capabilities

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.

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 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.

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.

A machine learning-based approach to detect and prevent data breaches using natural language processing and machine learning algorithms.