As artificial intelligence becomes increasingly embedded in everyday products, the race to secure these systems is unfolding in real time — and even the world’s largest tech companies are learning as they go.
Google, a leader in AI development, has acknowledged that AI security remains an evolving challenge with no settled playbook. The company has been forced to adapt its security frameworks on the fly as new vulnerabilities emerge in large language models and generative AI tools.
Industry-wide, security researchers are discovering novel attack vectors unique to AI systems, including prompt injection, data poisoning, and model extraction. These threats require fundamentally different defences than traditional software security, pushing companies to rethink their entire approach.
“Nobody has this figured out yet,” said one security researcher. “We’re all building the plane while flying it.”
