A web-based collaborative platform for incident responders to share technical details during cybersecurity investigations.
IRIS (Incident Response Investigation System) is an open-source web platform that helps cybersecurity incident response teams collaborate during investigations. It provides a centralized interface for sharing technical details, managing cases, and processing security indicators through an extensible module system. The platform solves the problem of fragmented communication and tooling during security incidents by offering a unified workspace for response teams.
Cybersecurity incident responders, digital forensics teams, and security operations centers (SOCs) that need to coordinate investigations and share technical findings. It's particularly valuable for organizations with dedicated security teams handling multiple concurrent incidents.
IRIS offers a fully open-source alternative to commercial incident response platforms with a modular architecture that allows teams to extend functionality based on their specific needs. Unlike proprietary solutions, it provides complete control over deployment and data while maintaining enterprise-grade features like job queuing, API access, and containerized deployment.
Collaborative Incident Response platform
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Extensible through IrisModules for third-party integrations like MISP and VirusTotal, allowing teams to customize workflows based on their specific toolchain.
Ships in Docker containers with Docker Compose, enabling easy installation and consistent environments across deployments, as detailed in the README's getting started guide.
Interactive timeline interface helps teams track investigation events and activities, enhancing coordination during incidents, demonstrated in the demo GIF.
Built-in RabbitMQ-based job queue handles tasks like IOC enrichment asynchronously, improving performance for processing-intensive operations mentioned in the features.
The README admits it's 'still in its early stage' and warns against internet exposure, indicating potential stability and security concerns for production use.
Requires running and maintaining five separate Docker services (app, db, RabbitMQ, worker, nginx), which can be resource-intensive and challenging for teams without DevOps experience.
While modular, the number of default modules is limited, and creating custom integrations requires significant development effort compared to commercial alternatives with more connectors.