Summary
Deep Patel is a Senior Threat Researcher with a decade of hands-on experience uncovering and weaponizing insights into AI, cloud, and container security threats for Trend Micro’s Zero Day Initiative. He reproduces complex attacks, builds high-fidelity detection signatures and correlation models, and architects automation frameworks that accelerate vulnerability discovery and testing. His research has driven multiple Trend Micro publications and notable PoCs, including work on React2Shell, RondoDox, Spring4Shell weaponization, and the TeamPCP / LiteLLM AI supply-chain compromise. At TrendAI he helped shape ÆSIR components like MIMIR and FENRIR to scale zero-day discovery across AI infrastructure such as NVIDIA and MLflow. Deep pairs offensive curiosity with applied defensive impact—translating exploit analysis into XDR and SecOps improvements—and is an advocate for open-source security and Python-driven automation. Based in Toronto, he’s open to collaboration, speaking, and tackling new challenges in AI security and vulnerability research.
10 years of coding experience
4 years of employment as a software developer
Master of Information Systems Security Management, Computer and Information Systems Security/Information Assurance, Master of Information Systems Security Management, Computer and Information Systems Security/Information Assurance at Concordia University of Edmonton
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Gujarat Technological University (GTU)
English, Gujarati, Hindi