AI is propelling the transformation of cybersecurity from a discretionary investment to an essential cost. As AI diminishes the barriers to launching attacks and shortens the window for exploiting vulnerabilities, the security risks that enterprises face have escalated dramatically. Consequently, cybersecurity has become an integral part of AI infrastructure. Financial reports from the second quarter reveal a consistent uptick in demand for AI security, with numerous vendors witnessing swift growth in key performance indicators such as Annual Recurring Revenue (ARR) and booking volumes. Enterprise procurement strategies are also evolving, transitioning from isolated solutions to platform-based models. Presently, a substantial portion of AI security projects remain in the nascent stages of the sales cycle, exerting limited influence on this year's core business performance. However, demand is anticipated to surge beginning in the fourth quarter of this year and intensify further by 2027. AI not only shrinks the timeframe from vulnerability disclosure to exploitation but also augments attack automation, cuts costs, and lowers the entry threshold, compelling enterprises to bolster their investment in defensive measures. Simultaneously, the expansion of AI infrastructure has spawned novel security requirements, designating this wave of AI security investment as a sustained structural spending cycle with a wide array of beneficiaries across multiple security domains, including real-time detection and response.