Uploaded August 2026 | Updated September 2026, 1 hour ago
Beyond Manual Hunting: OSINT Copilot with LLMs & Evidence-Based Collection, Enrichment, and Investigative Search at Scale
Matheus Bezerra (Apura Cyber Intelligence S/A, BR), Victor Fabre (Apura Cyber Intelligence, BR)
Matheus Fernandes Bezerra – Software Engineer, Apura Cyber Intelligence
We present a practical approach to transforming large-scale OSINT into structured, actionable intelligence using open tooling, RAG, and agentic LLM workflows. The session covers data extraction, enrichment, indexing, and how LLMs support incident response through structured reasoning and reproducible analysis.
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Matheus Fernandes Bezerra is a Software Engineer at Apura Cyber Intelligence. He holds a Bachelor’s degree in Computer Science from the Instituto Federal de Brasília and is currently pursuing a Master’s degree in Machine Learning at the University of Brasília. Over the past five years at Apura, he has worked across OSINT analysis, cybersecurity operations, and backend engineering.
Matheus specializes in building scalable security tools, data pipelines, and analytical dashboards that support threat detection, leak monitoring, and exposure intelligence workflows. His work bridges practical incident-response needs with advanced data processing and automation, contributing directly to Apura’s threat intelligence platforms and operational capabilities.
Victor Fabre, Cyber Threat Intelligence leader with 6 years of experience in threat intelligence operations, underground ecosystem analysis, and AI-assisted workflows. Ph.D. in Electrical Engineering (UnB), with multiple IEEE publications.
Beyond Manual Hunting: OSINT Copilot with LLMs & Evidence-Based Collection, Enrichment, and Investigative Search at Scale
Matheus Bezerra (Apura Cyber Intelligence S/A, BR), Victor Fabre (Apura Cyber Intelligence, BR)
Matheus Fernandes Bezerra – Software Engineer, Apura Cyber Intelligence
We present a practical approach to transforming large-scale OSINT into structured, actionable intelligence using open tooling, RAG, and agentic LLM workflows. The session covers data extraction, enrichment, indexing, and how LLMs support incident response through structured reasoning and reproducible analysis.
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Matheus Fernandes Bezerra is a Software Engineer at Apura Cyber Intelligence. He holds a Bachelor’s degree in Computer Science from the Instituto Federal de Brasília and is currently pursuing a Master’s degree in Machine Learning at the University of Brasília. Over the past five years at Apura, he has worked across OSINT analysis, cybersecurity operations, and backend engineering.
Matheus specializes in building scalable security tools, data pipelines, and analytical dashboards that support threat detection, leak monitoring, and exposure intelligence workflows. His work bridges practical incident-response needs with advanced data processing and automation, contributing directly to Apura’s threat intelligence platforms and operational capabilities.
Victor Fabre, Cyber Threat Intelligence leader with 6 years of experience in threat intelligence operations, underground ecosystem analysis, and AI-assisted workflows. Ph.D. in Electrical Engineering (UnB), with multiple IEEE publications.
