Research
In-depth analysis of AI security vulnerabilities, attack vectors, and defense strategies.
Featured Prompt Injection Attacks: A Comprehensive Guide to AI's Most Persistent Vulnerability
An in-depth exploration of prompt injection taxonomy, real-world attack scenarios, and multi-layered defense strategies for securing LLM-powered applications.
Featured Supply Chain Attacks on AI Models: From Poisoned Datasets to Trojan Weights
How attackers compromise the AI supply chain through model registries, dataset poisoning, and dependency manipulation — and what ML SBOMs can do about it.