AI security researchers are predicting a major AI-driven attack vector to emerge within the next 6-12 months. This isn't about AGI going rogue—it's about adversarial ML models, prompt injection at scale, or automated exploit generation tools hitting production systems. The attack surface is expanding faster than defenses: LLM-powered phishing that adapts in real-time, AI agents that can autonomously chain vulnerabilities, or poisoned training data that corrupts model outputs. The infrastructure isn't ready. Most companies are still running models without proper input sanitization, output validation, or adversarial testing. When someone figures out how to weaponize GPT-4's function calling or Claude's tool use at scale, it's going to be a mess. The warning isn't hype—it's a timeline based on how fast offensive AI tooling is evolving versus how slowly enterprise security is adapting.