Supply Chain Poisoning in AI/ML PipelinesNeuralStack | MS – AI Security Engineering Summary A modern ML system is assembled, not written. Training corpora are scraped or downloaded, weights are pulled from public hubs, and hundreds of trans55AJBOct 6 · 16 min readneuralstackms.tech
Adversarial Attacks on Multi-Modal LLMs: How Image, Audio, and Video Inputs Get Weaponized and How to Defend Against ItNeuralStack | MS — AI Security For most of the past three years, the AI security community's attention has been fixed on text: prompt injection, jailbreak templates, token-level adversarial suffixes. Sep 22 · 15 min readneuralstackms.tech
How to Write Engineering Content That Actually Gets ReadMost engineering blogs die the same death: a well-intentioned post, three paragraphs of introduction, an unbroken block of text, and a bounce rate that would drive any project manager to despair. The Sep 8 · 6 min readneuralstackms.tech
Four AI Security Projects You Can Ship in a MonthAI security is a field where the credentialing infrastructure – certifications, courses, CTF badges – has outpaced the tooling infrastructure. Anyone can accumulate OWASP LLM Top 10 flashcard knowledg72SDAug 21 · 8 min readneuralstackms.tech
The Centaur Defense Model – Cooperative Defense Strategies Between Humans and AIThis article analyzes the “Centaur Defense Model,” an advanced security concept in which humans and artificial intelligence (AI) form a united front against malicious or infected systems. The core of 41MJul 27 · 6 min readneuralstackms.tech