AI's Real Security Problem Isn't What We're Discussing
Source: Scripting News
The piece identifies a gap between what the AI industry is debating—alignment, hallucinations, bias—and the actual attack surface being exploited today: data poisoning, model extraction, and prompt injection vulnerabilities that existing web security frameworks haven't addressed. Organizations remain vulnerable to immediate compromise through concrete weaknesses in training pipelines and inference systems, while the security consensus focuses on abstractions and distant risks.