Model Card for cisco ai/SecureBERT2.0 NER The Secure Modern BERT NER Model is a fine tuned transformer based on SecureBERT 2.0 , designed for Named Entity Recognition (NER) in cybersecurity text. It extracts domain specific entities such as Indicators, Malware, Organizations, Systems, and Vulnerabilities from unstructured data sources like threat reports, incident analyses, advisories, and blogs. NER in cybersecurity enables: Automated extraction of indicators of compromise (IOCs) Structuring of unstructured threat intelligence text Improved situational awareness for analysts Faster incident response and vulnerability triage Model Details Model Description Developed by: Cisco AI Model Type: ModernBertForTokenClassification Framework: TensorFlow / Transformers Tokenizer Type: PreTrainedTokenizerFast Number of Labels: 11 Task: Named Entity Recognition (NER) License: Apache 2.0 Language: English Base Model: cisco ai/SecureBERT2.0 Supported Entity Labels Entity Description : : B Indicator , I Indicator Indicators of Compromise (e.g., IPs, domains, hashes) B Malware , I Malware Malware or exploit names B Organization , I Organization Companies or groups mentioned B System , I System Aff…
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