{"id":7916,"date":"2026-05-19T16:30:00","date_gmt":"2026-05-19T14:30:00","guid":{"rendered":"http:\/\/stocks-future.com\/?guid=d01ba09a1ec6c0f3f95c85a204a28920"},"modified":"2026-05-19T16:30:00","modified_gmt":"2026-05-19T14:30:00","slug":"agentic-ai-is-accelerating-how-software-gets-built-and-how-it-gets-attacked-most-enterprises-are-only-ready-for-one-according-to-digital-ais-2026-appsec-threat-report","status":"publish","type":"post","link":"https:\/\/stocks-future.com\/?p=7916","title":{"rendered":"Agentic AI Is Accelerating How Software Gets Built and How It Gets Attacked. Most Enterprises Are Only Ready for One, According to Digital.ai\u2019s 2026 AppSec Threat Report"},"content":{"rendered":"

\nNew data finds 87% of monitored client-facing apps faced attacks in 2026 \u2014 up from 55% in 2022 \u2014 as AI permanently collapses the cost and expertise required to exploit them<\/i><\/p><\/a><\/a>

\niOS and Android attack rates have converged for the first time \u2014 closing a 21-point gap and invalidating a decade of platform-based security assumptions<\/i><\/p>

RALEIGH, N.C.--(BUSINESS WIRE)--AI has created two simultaneous acceleration curves in enterprise software: one for building it and one for attacking it. For most software teams, publishing an app to the App Store or Google Play still feels like a product milestone. In 2026, it is a security exposure event.<\/p>

\nDigital.ai\u2019s 2026 Application Security Threat Report<\/a> draws on real-time threat monitoring data from applications serving billions of consumers across financial services, healthcare, automotive, and telecommunications. The report finds that as AI tools accelerate application development and shipping, attackers are using the same capabilities to move faster, causing the window between app store publication and first hostile contact to disappear.<\/p>

\nAnother key finding cuts to the root cause: agentic AI has reset the economics of software attacks. The skill, time, and cost barriers that once limited sophisticated attacks have collapsed. Activities that once required specialized security expertise, custom tooling, and days of manual effort can now be accomplished through AI-assisted code inspection, exploit generation, and malware adaptation in a fraction of the time.<\/p>

\nThe five-year attack rate trajectory makes the correlation visible. The 55% \u2192 57% \u2192 65% \u2192 82.7% \u2192 87% climb \u2014 tracking closely alongside each major AI model release since 2022 \u2014 suggests the industry has crossed a threshold. The question now is not whether agentic AI-powered attacks will keep climbing; it is whether enterprises will invest in defending against them at the same pace.<\/p>

\nThe Attack Surface Enterprises Left Exposed<\/b><\/p>

\nOne enterprise customer monitoring their application in production observed hostile activity less than two hours after their app appeared in the store, a timeline consistent with what Digital.ai\u2019s broader threat telemetry shows. The window between app publication and first hostile contact is now measured in hours, not days.<\/p>

\nMobile applications have become a primary attack surface in the enterprise portfolio \u2014 and the most exposed to the new attacker capabilities that AI has unlocked. The applications that enterprises distribute directly into the hands of billions of customers exist outside the enterprise firewall. They live on devices the security team does not control, in public marketplaces on the open internet. When an attacker compromises a mobile app, the app is not the destination; it is the entry point. Reverse engineering a mobile application gives an attacker a blueprint to the backend APIs, authentication logic, and server infrastructure that power it \u2014 the same infrastructure protecting customer data, transactions, and core business operations.<\/p>

\nA companion finding puts a finer point on where the underinvestment is showing up.<\/p>

\nThe iOS Budget Assumption Has Expired<\/b><\/p>

\nIn 2023, iOS apps faced roughly half the attack rate of Android apps, a gap that justified significantly lower security investment on Apple\u2019s platform. In 2026, iOS apps were attacked at an 86% rate, compared to 89% for Android. This gap, which once stood at 21 percentage points, has now effectively closed. iOS instrumentation attacks alone jumped 10 percentage points in a single year, as AI-assisted dynamic analysis tooling matured into a mainstream attacker capability.<\/p>

\niOS has always been harder to attack but is no longer the deciding factor in target selection. AI-assisted reverse engineering absorbs what complexity remains. Enterprise AppSec budget allocations that still reflect a 2-to-1 Android-to-iOS threat assumption are now misaligned with the data.<\/p>

\nThe Number That Matter<\/b><\/p>