Developed an advanced NLP-powered security analytics platform that mapped cyber defense mechanisms to attack techniques, enabling organizations to identify and address gaps in their security coverage.
🚀 Core Contributions
🧠 Semantic Similarity Engine
NLP Pipeline Development: Created comprehensive text analysis system for cybersecurity documentation
Embedding Implementation: Utilized Word2Vec, GloVe, and BERT/SBERT for capturing semantic relationships
Deep Learning Models: Trained neural networks to determine similarity between attack techniques and defense mechanisms
Topic Modeling: Applied advanced techniques to identify latent topics within security framework documentation
🛡️ Cybersecurity Framework Mapping
MITRE ATT&CK Integration: Developed automated mapping between attack techniques and digital vaccines
Gap Analysis: Created algorithms to identify security coverage gaps in defense mechanisms
Threat Intelligence: Built systems to assess defense effectiveness against known attack patterns
Data Pipeline Development: Implemented workflow for processing large volumes of cybersecurity documentation
📊 Data Processing & Analysis
Text Preprocessing: Applied tokenization, lemmatization, stemming, and regex for data preparation
Vector Representation: Created document and paragraph level embeddings for semantic analysis