Explore advanced threat detection techniques in this BSidesLV conference talk on transfer learning for analyst-sourcing behavioral classification. Delve into the challenges of AI in InfoSec, active learning strategies, and the importance of label acquisition. Discover three key objectives for transfer learning, including sharing labeled data and handling negative transfer. Examine a practical experiment on detecting phishing domains, comparing transfer learning results with traditional blacklists. Learn how organizations can collaborate by sharing labels to improve detection capabilities. Gain insights into potential new features for enhancing phishing detection and consider future applications in other use cases.