Anomaly Detection
Explore 6 curated tools and resources
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Commercial
Resources
Mandos Brief Newsletter
A weekly newsletter providing cybersecurity leadership insights, industry updates, and strategic guidance for security professionals advancing to management positions.
Free
Resources
Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.
Commercial
Application Security
Check Point CloudGuard WAF
A cloud-native web application and API security solution that uses contextual AI to protect against known and zero-day threats without signature-based detection.
Commercial
Application Security
Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.
Commercial
Cloud Security
DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.
Commercial
Application Security
Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Commercial
Cloud Security
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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.
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.
A machine learning-based approach to detect and prevent data breaches using natural language processing and machine learning algorithms.