Falco is an eBPF runtime security monitor and cloud native detection engine that identifies abnormal behavior and security threats across hosts and containers. It functions as a Linux kernel event auditor, capturing system calls and kernel events in real-time to detect malicious activity. The system distinguishes itself through a rule-based threat detection model that evaluates system activity against a library of community-maintained rules and custom security definitions. It enriches raw kernel events with container and Kubernetes metadata to provide observability into isolated environments
Sigma is a suite of tools for defining generic log signatures and translating them for multiple backends. It provides a structured way to define malicious behavior and detection logic independently of any specific backend technology, acting as a translation engine that maps generic event fields and correlation logic to the proprietary query languages of security data lakes and SIEM platforms. The project features a plugin-based multi-backend query generator that exports security detections into various database and log management formats. It also includes a threat framework mapping tool that
This repository is a community-driven collection of security content for Azure Sentinel, the cloud-native security information and event management (SIEM) platform from Microsoft. It serves as a central hub for sharing detection rules, threat hunting queries, interactive workbooks, and automated response playbooks, all contributed and maintained through a standard GitHub-based pull request workflow. The content is designed to help security operations teams quickly deploy proven detections, proactively hunt for threats, visualize security data, and orchestrate incident response actions without
Sigma is a generic SIEM signature format and log event pattern standard used to describe malicious activity. It provides a vendor-neutral system for defining security event patterns in YAML, ensuring that detection logic remains portable across different monitoring platforms. The project maintains a curated library of peer-reviewed detection rules that identify threats and compliance violations. This standardized approach allows for the exchange of threat hunting logic and the translation of generic signatures into specific queries for various security information and event management systems
This project is a detection-as-code framework providing a library of security monitoring rules and predefined detection content for Elasticsearch data indices. It serves as a threat detection rule library designed to identify malicious activity and attack patterns across diverse data streams in cloud and on-premises environments.
The main features of elastic/detection-rules are: Threat Detection Rule Repositories, API Query Languages, Syntax Validation, Detection Rule Deployment, Cloud Security Monitoring, Prebuilt Detection Rule Packs, Data Stream Evaluators, Detection-as-Code Frameworks.
Open-source alternatives to elastic/detection-rules include: falcosecurity/falco — Falco is an eBPF runtime security monitor and cloud native detection engine that identifies abnormal behavior and… sigmahq/sigma — Sigma is a suite of tools for defining generic log signatures and translating them for multiple backends. It provides… azure/azure-sentinel — This repository is a community-driven collection of security content for Azure Sentinel, the cloud-native security… neo23x0/sigma — Sigma is a generic SIEM signature format and log event pattern standard used to describe malicious activity. It… thehive-project/thehive — TheHive is a security incident response platform and multi-tenant case management system. It functions as a Security… crowdsecurity/crowdsec — CrowdSec is a collaborative, distributed security engine designed for threat detection and infrastructure protection.…