The Digital.ai 2026 App Security Threat Report reveals a stark acceleration in AI-driven attacks on client-facing applications, with assault rates surging from 55% in 2022 to 87% in 2026. This shift collapses traditional barriers, as agentic AI enables rapid reverse engineering, exploit generation, and dynamic analysis across iOS and Android platforms alike. The narrowing gap between these ecosystems—from iOS facing half the attacks of Android in 2023 to 97% in 2026—underscores how AI democratizes sophistication, turning once-protected verticals like automotive telematics and medical device apps into high-value targets. Attack windows have compressed dramatically, with one recorded incident striking within under two hours of App Store publication. Beyond the report's focus on offense, this pattern signals a broader AI offense-defense spiral with geopolitical undertones. Nation-state actors and sophisticated criminal groups are leveraging similar tools to probe critical infrastructure, echoing patterns seen in the 2024 Volt Typhoon intrusions where AI-assisted reconnaissance targeted industrial control systems. The original coverage underplays defensive AI countermeasures, such as those outlined in NIST's AI Risk Management Framework (2023 update), which advocates for adversarial testing to mirror attacker capabilities. Synthesizing this with MITRE's ATT&CK for Mobile (updated 2025), the convergence of attack rates across finance, automotive, and healthcare exposes a false sense of geographic insulation—AI erases distance, enabling low-expertise actors to exploit complex protocols globally. This demands reallocating security budgets toward integrated, AI-native defenses rather than legacy prioritization of 'primary' versus 'emerging' threats, lest medical and vehicle ecosystems become vectors for cascading disruptions.