Anirudh Kondaveeti is a Staff Data Scientist and Technical Lead with a focus on applying AI/ML to security problems that demand scale and operational reliability. His current interests include anti-abuse and fraud detection (e.g., using graph and ML methods to detect cloud crypto-mining and other misuse), AI-assisted vulnerability prioritization to surface business-relevant risk, and privacy/governance automation such as LLM-based sensitive data classification for compliance and data integrity monitoring. Previously, he worked on threat detection problems including privilege escalation, anomalous lateral movement, and building alert context via automated kill-chain construction and correlation.
