Zhuoran (Newt) Tan

If it’s right, time will catch up.

I am a PhD candidate in Computing Science at the University of Glasgow, focusing on Software and AI supply chain security, AI Security, Anomaly/APT detection, and graph-based learning.

My research investigates how complex, multi-stage attacks propagate across modern software ecosystems, AI pipelines, and agent-based systems, and how graph-based modeling and secure execution can be used to improve detection, forensics, and defense.

In parallel, I build hands-on application security skills in software supply chain security (SLSA/SBOM), Secure SDLC, OWASP Top 10, web security testing, and DevSecOps/LLMSecOps.

Recent News

• 2026-02 — Submit our advanced supply chain simulation work to Usenix Security
• 2026-02 — Submit our LLM Supply Chain Security position work to LLMSC (co-located with FSE)
• 2026-01 — Submit our Operational Runtime Open-Source Security Paper to FSE Industry Track
• 2026-01 — Submit our MCP Runtime Security Paper to EuroSec (EuroSys)

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