Jyoti Yadav
Jyoti is an Applied Cyber Security Data Scientist at Microsoft, UK. Jyoti has a total of 8 years of experience in top notch technologies like blockchain, cybersecurity and finance industry. Jyoti has primarily worked on the LLM, fine-tuning and agent AI systems.
Sessions
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.