graph analytics for attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security … hands-on Python and graph-query development, data pipeline engineering, testing, and production deployment. Ability to translate complex security problems into data models, algorithms, measurable experiments, scalable services, and clear technical documentation. Excellent communication, mentoring, problem-solving, and cross-functional leadership capabilities. Preferred Qualifications Experience with cloud-native security ...
