Adversarial learning breakthrough enables real-time AI security
The potential to execute adversarial learning for real-time AI security gives a decisive benefit over static defence mechanisms. The emergence of AI-driven assaults – utilising reinforcement learning (RL) and Large Language Model (LLM) capabilities – has created a category of “vibe hacking” and adaptive threats that mutate sooner than human groups can reply. This represents…
