Craig Gentry

Principal Data Scientist

Ph.D., Computer Science, Carnegie Mellon University

15+ years experience

Craig Gentry is a Principal Data Scientist bringing 15 years of robust experience to the forefront of cybersecurity analytics. He holds a Ph.D. in Computer Science from Carnegie Mellon University, with a dissertation focused on novel machine learning algorithms for high-dimensional data. Currently, Craig spearheads the threat intelligence analytics division at Cygnus Defense Solutions, where his leadership led to the creation of the 'Sentinel' AI framework, a cutting-edge system for real-time intrusion detection that has significantly reduced incident response times. Prior to this, he served as a Senior Data Scientist at Aperture Analytics, where he was instrumental in developing sophisticated fraud prevention models for financial institutions. Craig’s professional philosophy centers on leveraging data-driven insights to build resilient and proactive defense mechanisms against evolving digital threats. Readers can expect his articles to provide in-depth analysis of complex data science methodologies, practical applications in cybersecurity, and forward-thinking perspectives on the future of AI in security

Articles by Craig Gentry

Data Science

Atlanta’s Sarah Chen: Data Wins in 2026

The year 2026 brought unprecedented challenges for Atlanta-based entrepreneur, Sarah Chen, owner of “Peach State Provisions,” a rapidly expanding online marketplace for Georgia-grown produce and…

Craig Gentry · · 8 min read
Data Science

Data Paralysis: 5 Fixes for 2026

Many businesses today drown in data, paralyzed by the sheer volume of information they collect. They invest heavily in data collection tools, yet struggle to…

Craig Gentry · · 9 min read
Data Science

Data Analysis: 5 Pitfalls to Avoid in 2026

Key Takeaways Always define your analytical objectives clearly before collecting any data to avoid irrelevant insights. Implement robust data cleaning and validation protocols, as dirty…

Craig Gentry · · 8 min read