Jamila Mehmandarova is a Master's student in Information Security at the University of Oslo (UiO). She is passionate about cybersecurity, and has a big interest in threat analysis and cyber threat intelligence (CTI).
Jamila holds a Bachelor's degree in Programming ans System Architecture, also from UiO. She has extensive and diverse work experience, including roles as developer, research assistant, teaching assistant, and county secretary for a political party.
Structured threat intelligence formats like STIX are designed for machines, not humans. But what if we could reverse that pipeline – and translate structured CTI data back into rich, human-readable narratives?
In this talk, I’ll present an approach that does exactly that – a novel and relatively unexplored direction in CTI and AI, based on my research. Using things like semantic graphs, graph databases, and large language models, I explore how we can reconstruct meaningful insights from structured data while preserving intent and relationships, and improving reconstruction accuracy.
This session is for developers, data engineers, and security enthusiasts curious about pushing the boundaries of structured data interpretation – turning rigid formats into living stories that humans can actually use and understand.
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