AI/ML
Innovation Through Technology
AI/ML
Our focus on machine-learning methods and their applications in cybersecurity consist of the insights from data. We are driving a shift in our understanding of cyber threats through technology. We enable machine learning algorithms to analyze, learn and extract insight from cybersecurity incidents- allowing us awareness of previously unseen patterns, meanings, and predictions. Our Cybersecurity Data Science (CSDS) division develops effective frameworks that supports data-driven and real-time decision making.
We understand that an effective ML/AI based cybersecurity system has to consist in a hybrid state- incorporating a multidisciplinary approach across all available algorithmic scales. We invest in the state-of-the-art sciences and research and development in the Neural Networks, Support Vector Machine, Genetic Algorithms, Fuzzy Logics, Bayesian Networks, Decision Tree, Artificial Immune Systems, and Swarm Intelligence to marry ML and AI to cybersecurity. Our CSDS division is on the cutting edge of the possible; we are answering the problems of tomorrow, today.