Model Card for cisco ai/SecureBERT2.0 biencoder The SecureBERT 2.0 Bi Encoder is a cybersecurity domain sentence similarity and document embedding model fine tuned from SecureBERT 2.0. It independently encodes queries and documents into a shared vector space for semantic search , information retrieval , and cybersecurity knowledge retrieval . Model Details Model Description Developed by: Cisco AI Model type: Bi Encoder (Sentence Transformer) Architecture: ModernBERT backbone with dual encoders Max sequence length: 1024 tokens Output dimension: 768 Language: English License: Apache 2.0 Finetuned from: cisco ai/SecureBERT2.0 base Uses Direct Use Semantic search and document similarity in cybersecurity corpora Information retrieval and ranking for threat intelligence reports, advisories, and vulnerability notes Document embedding for retrieval augmented generation (RAG) and clustering Downstream Use Threat intelligence knowledge graph construction Cybersecurity QA and reasoning systems Security operations center (SOC) data mining Out of Scope Use Non technical or general domain text similarity Generative or conversational tasks Model Architecture The Bi Encoder encodes queries and doc…
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