Lightning Talk: Weaviate Vector Search Engine - Enhancing Cybersecurity
summary
Weaviate is a vector search engine that stores ML vector embeddings and a graph schema and demonstrates semantic threat analysis on the MITRE ATT&CK dataset. Live demo runs GraphQL queries using three core operations aggregate explore get, uses a transformers module with sentence‑BERT to vectorize descriptions, answers questions via a Q&A module and performs nearText searches to find related techniques. Example outcomes: semantic lookup returns OilRig from a description mismatch, clusters supply‑chain concepts, and surfaces known mitigations.
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