Jyoti Yadav
Jyoti Yadav is a Cyber Security Data Scientist at Microsoft with extensive experience in data science,
machine learning, and cybersecurity. Having worked at companies like Blockchain.com, EXL, and
Lucidian, she has built advanced models for fraud detection, market forecasting, and security risk
assessments. She specializes in predictive modeling, machine learning,
anomaly detection, Agentic AI, and Large Language Models (LLM). Passionate about driving
impactful results.
Session
This talk will detail how to integrate external threat intelligence data into an autonomous agentic AI system for proactive cybersecurity. Using real world datasets—including open-source threat feeds, security logs, or OSINT—you will learn how to build a data ingestion pipeline, train models with Python, and deploy agents that autonomously detect and mitigate cyber threats. This case study will provide practical insights into data preprocessing, feature engineering, and the challenges of adversarial conditions.