Searchlight Cyber • 9w
Optimizing Cyber Threat Intelligence CTI through LLM-Driven Orchestration
CTI operations are shifting from manual data processing to AI-orchestrated workflows using Large Language Models (LLMs) to automate the extraction of indicators of compromise (IOCs) and tactics, techniques, and procedures (TTPs) from unstructured narratives. By implementing LLM-driven Information Extraction (IE) pipelines and generating Cyber Threat Knowledge Graphs (CKG), organizations are accelerating the transition from raw data to structured STIX/TAXII intelligence. This collaboration reduces "Time-to-Intelligence" and enhances the triage of sophisticated campaigns, such as those targeting software developers, while human analysts provide critical grounding to mitigate AI hallucinations and common CTI fallacies.