Satyam Singh

Dynamic Threat Researcher at Zscaler with expertise in threat hunting and malware analysis. Proven track record in detecting advanced persistent threats and crafting YARA/Sigma rules. Adept at collaborating with teams and communicating complex findings effectively. Skilled in Python and artificial intelligence, driving enhanced security measures in a Zero Trust environment.

• Competitive gaming enthusiast – actively play FPS, strategy, and story-driven games, depending on mood
• Guitar hobbyist – Use music as a mental reset, play solo guitar to stay grounded and creative during off-work hours
• Health and Nutrition Explorer – deeply interested in how nutrition affects performance and cognition Regularly study topics around calorie balance, macronutrients, and fitness optimization.
• Tech curiosity and learning – outside of core cybersecurity work, explore tools, emerging malware families, and automation techniques just for fun and learning

• Designed and implemented a Model Context Protocol (MCP) that structures metadata, static code insights, and behavioral cues from PyPI packages into a context-aware input for large language models
• Enabled LLMs to generate concise, security-focused reports on package behavior, covering aspects like obfuscation, suspicious imports, install-time scripts, and potential malware indicators
• MCP improves LLM response reliability and precision by separating benign utility patterns from truly anomalous or malicious traits.
• Tech Stack - Python, AST parsing, JSON schema, OpenAI API / LLMs, PyPI API.