COREII is a research-driven initiative designed to address emerging cybersecurity challenges through innovative, AI-enhanced solutions. The platform integrates a suite of tools, projects, and data sources to deliver near-real-time decision intelligence, enabling faster, more informed responses to cyber threats. By focusing on data enrichment and cross-correlation, COREII strengthens the integrity and trustworthiness of AI systems. It also serves as a centralized hub for data generated across your organization, fostering a more cohesive and synergistic research ecosystem.
One of COREII’s most impactful features is its ability to serve as a hands-on educational tool. By making advanced AI capabilities accessible to cybersecurity professionals, the platform helps build AI literacy and demonstrates how these technologies can be applied to real-world infrastructure protection.
To ensure long-term maximum flexibility, this version is designed to:
- Be accessible anywhere, expanding its reach and visibility. Hosted on your private cloud, On-Premise or anywhere you need.
- Utilize all available datasets, ensuring compliance and simplifying data governance. Import your own datasets or use the preconfigured ones with your own access.
- AI chatbot, Interact with your data through Retrieval-Augmented Generation whether your data is ingested into the data lake or accessed through a live data call. This release ensures that the foundational work behind COREII delivers value to companies that leverage COREII’s architecture to enhance the cybersecurity posture of their own products and services.
Welcome to the INL COREII Data Lake codebase! This monorepo contains all components of the project outlined below.
- Backend: Core services for the COREII RAG data pipeline and chatbot
- Kubernetes: Configuration and infrastructure as code for creating and running the container orchetration platform.
- Portal: UI for the COREII Portal and auxillary API/DB
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