Independent, source-grounded analysis of AI security — the signal, not the noise.
TopicSpectrum AI Research reads the AI security field and distills it into clear, rigorous, practitioner-grade analysis. The aim is to cut through hype and vendor spin and explain how AI systems are attacked and hardened — in plain language, with every offensive idea paired with a concrete defense.
Each topic comes two ways: Read the full paper-style article, or Watch the narrated walkthrough that draws and explains the same material end to end. Same content — your choice of medium. The narrated walkthrough uses an AI-generated (synthetic) voice.
This is analysis and synthesis of publicly available, authoritative sources — not original laboratory research. Any labs, harnesses, or metrics shown are illustrative methodology, not experiments run here. Techniques are explained conceptually and defensively; nothing here is a weaponized, copy-paste exploit. Every article is original analysis, with the sources it draws on cited in that article's references. Corrections and better sources are always welcome.
This material is provided for education and defensive, authorized use only, as-is and without warranty. It is not professional, legal, or security advice. Any testing you perform must be on systems you own or are explicitly authorized to assess. You are responsible for how you use this information; the author accepts no liability for actions taken based on it.
TopicSpectrum AI Research is written by Murali Chillakuru.