AI Security: From Experiment to Production, Value-Driven

AI security is moving from experimentation to production as businesses deploy more AI agents. Morgan Kyauk, managing director at NightDragon, notes that companies are seeking clear evidence of value. The market is crowded with vendors, making customer traction and repeatable use cases crucial. Many organizations are still testing multiple AI and agent security products. The goal is to roll out these technologies in production and show tangible results. Cybersecurity buyers want proven use cases and measurable return on investment before expanding contracts. Investors are looking for similar signals, along with evidence of scalability. Kyauk also discussed how AI security might integrate into existing cybersecurity platforms. He highlighted the growing influence of boards and executives outside the CISO organization on AI security budgets. This shift impacts how companies will secure their AI systems in the future.