Artificial Intelligence (AI) has become a transformative force in cybersecurity, reshaping both threats and defenses. This evolution is particularly noticeable in the realm of application security, where AI’s influence is making attacks more frequent, swift, and challenging to counteract.
The Evolving Threat Landscape
The distinction between primary and emerging targets in app security has blurred as malicious entities leverage AI technologies. Every application is now seen as a primary target, prompting a reevaluation of security budget allocations to address this shifting paradigm.
Digital.ai’s 2026 App Security Threat Report highlights two pivotal trends. First, the frequency of attacks on client-facing applications has surged significantly, rising from 55% in 2022 to 87% in 2026. This escalation is largely attributed to AI’s ability to reduce the cost and expertise needed for attackers to conduct these assaults, particularly through reverse engineering and exploit generation.
The Narrowing iOS and Android Security Gap
Another critical finding is the diminishing security gap between iOS and Android platforms. In 2023, iOS applications experienced only half the attack rate of their Android counterparts. By 2026, this gap had nearly closed, with iOS apps facing 97% of the attacks encountered by Android apps. The report attributes this trend to AI’s proficiency in operating across both platforms, eroding traditional security distinctions.
This convergence highlights a broader trend where sectors that were once difficult to breach have become more vulnerable due to AI-driven advancements. The rapid pace of app development and release, facilitated by AI, has transformed the publication of an app into a potential security exposure event.
Sector-Specific Attack Patterns
From 2025 to 2026, attack rates across four industry verticals have converged, with automotive and medical device applications experiencing the most significant increases. Historically, the complexity of automotive applications offered some protection; however, AI-assisted tools have made specialized knowledge more accessible, increasing vulnerability.
Medical device applications have seen an eight-percentage point rise in attack rates. The report suggests that attackers have realized these apps offer a higher return on investment compared to when reverse engineering required specialized expertise.
The report emphasizes that the concept of geographic insulation is no longer viable. Organizations must reassess any security strategies based on geographic distance from threats, as AI enables global reach for attackers.
Defensive Strategies in the AI Era
Digital.ai’s analysis concludes that defenders need to adopt defensive AI systems to counteract the sophisticated use of AI by attackers. The rapid adoption of new technologies by malicious actors necessitates that security teams implement proactive measures to protect applications from the moment they are released.
In an environment where a vast majority of monitored applications face threats, waiting for security interventions is no longer acceptable. The report warns that the gap between attack vectors and security investments must be addressed to prevent further escalation in attack instances.
