AI-Assisted App Attacks Surge to 87% as iOS-Android Security Gap Nearly Closes, Digital.ai Report Finds
Digital.ai's 2026 App Security Threat Report reveals that AI-assisted attacks against client-facing apps have risen from 55% in 2022 to 87% in 2026, with the iOS-Android security gap nearly closed and attack windows shrinking to hours.
The era of AI-assisted application attacks has reached a tipping point, with Digital.ai's 2026 App Security Threat Report documenting that 87% of monitored client-facing apps are now under attack, up from 55% in 2022. The report, released Wednesday, attributes this surge to the widespread adoption of agentic AI by threat actors, which has collapsed the cost and expertise required for reverse engineering, exploit generation, and dynamic analysis. The findings underscore a fundamental shift: any distinction between primary and emerging targets has dissolved, and all apps must now be treated as primary targets.
A key finding is the near-complete closure of the traditional security gap between iOS and Android. In 2023, iOS apps faced half the attack rate of Android apps; by 2026, they face 97% of it. AI's ability to operate seamlessly across both mobile environments has eroded the technical barriers that once made iOS a harder target. The report notes that the remaining gap is closing fastest in the most sophisticated attack categories, driven by AI-assisted tooling that automates platform-specific exploitation.
The speed of attacks has also accelerated dramatically. Digital.ai reports that one customer recorded a platform integrity attack on their application within just one hour and fifty-six minutes of the app becoming available in an official store. The window between app publication and first hostile contact is now measured in hours, not days. "It is now, in operational terms, a security exposure event," the report states, emphasizing that publishing an app is no longer a milestone but a trigger for adversarial activity.
Sector-specific data reveals the steepest attack rate increases in medical device apps and automotive apps. Medical device apps saw an eight-percentage-point jump in attack rates, while automotive apps experienced a sharp rise as AI-assisted tooling removed the technical complexity that previously protected these sectors. "The verticals where attackers have had to do the most work to extract the most value are precisely the verticals where AI-assisted tooling produces the largest marginal gains," the report explains. Financial services apps remain heavily targeted, but the convergence of attack rates across sectors signals that no industry is insulated.
The report also warns against relying on geographic distance as a security buffer. "The honest call to action is that organizations whose AppSec posture has implicitly relied on geographic distance from the threat should make that reliance explicit, examine it, and stop relying on it," the report states. AI-assisted attacks can originate from anywhere, and the same AI tools used for development are now being used for adversarial purposes within hours of an app's release.
Derek Holt, CEO of Digital.ai, framed the challenge starkly: "The same AI your developers used to build your app this morning is being used to attack it this afternoon. That forces a question every AppSec team needs to answer: is the application built to defend itself from the moment it hits the store? Or is it waiting for the security team to notice it is being used as the entry point?" The report concludes that defenders must adopt defensive agentic AI to counter the attackers' increasingly sophisticated use of the technology, narrowing the gap between attack and defense in an environment where waiting is no longer a viable strategy.