Bandjacks is a cyber threat intelligence system designed for rapid extraction and analysis of threat data. It can pull MITRE ATT&CK techniques from reports in just 12 to 40 seconds, significantly speeding up the process compared to previous versions. The system builds a knowledge graph that links threat actors, techniques, and defenses, and it can generate STIX 2.1 compliant bundles with tracking for provenance. This makes it easier for analysts to understand the context of threats and the effectiveness of defensive measures. The platform integrates with the D3FEND ontology, offering defensive recommendations based on the threat intelligence it processes. It also features advanced analytics capabilities, such as vector search and co-occurrence analytics to spot patterns among techniques. Bandjacks runs faster due to LLM response caching, making it 94% quicker than earlier iterations. The user interface, built on Next.js, allows for report review and visualization of analytics, providing a comprehensive view of threat data. Setting up Bandjacks requires a few configuration steps, such as defining environment variables for Neo4j and OpenSearch. Users must create a `.env` file to store their database passwords and configure API keys for LLM access. The command-line interface (CLI) supports various operations like searching for intelligence, processing reports, and analyzing threat actors. This flexibility allows users to adapt the tool to their specific needs. The frontend of Bandjacks provides an intuitive interface for managing reports, viewing extracted techniques, and monitoring system health. Key features include a report list, a review interface, and an overview of co-occurring technique pairs. Users can also upload reports directly or generate insights about threat actors and their typical techniques. Overall, Bandjacks aims to streamline the cybersecurity analysis process, making it faster and more efficient for professionals in the field.