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Nuevas tendencias de ataques a la seguridad de las aplicaciones para 2026

How AI Is Reshaping Application Security Attacks and Software Supply Chain Risk

IA en seguridad de aplicaciones: ataques a la seguridad de las aplicaciones

Resumen del informe

AI in application security is no longer optional;  it has become a core execution layer in modern software delivery. In 2026, AI is also one of the primary forces reshaping how software supply chain attacks are designed, scaled, and sustained.

This report analyzes how attackers exploited automation, trust, and AI-driven workflows throughout 2025, and why these patterns now define the AppSec threat model for 2026. It covers emerging AI-generated code security risks that accelerate insecure patterns, reduce code review effectiveness, and create new attack surfaces that traditional AppSec tools were not built to detect.

  • How AI changed the economics of software supply chain attacks: From high-volume malicious package campaigns to autonomous, agent-driven operations that run at machine speed, AI has lowered the cost and raised the scale of supply chain attacks dramatically.
  • Por qué las señales tradicionales de AppSec fallaron en 2025: CVEs, severity scores, and static analysis missed attacks that abused trust and automation rather than exploiting known vulnerabilities. The threat model has shifted; the tooling largely has not.

  • Cómo la persistencia pasó del acceso a los artefactos: Compromising a build pipeline once can create long-lived downstream risk through trusted artifacts, caches, and release channels. This report explains how attackers are exploiting that persistence vector.

  • What attackers optimized in 2025, and will keep optimizing in 2026: Velocidad, escala, legitimidad, automatización y confianza heredada en todo el código. pipelines, and software distribution systems. Understanding attacker optimization tells defenders where to focus first.

  • Los cambios defensivos que los equipos modernos de AppSec necesitan ahora: Moving from issue-centric vulnerability workflows to system-level control of execution, provenance, and trust, and what that means for how security teams are structured and tooled.

Understand how AI in application security is reshaping software supply chain risk,  and get the defensive framework modern AppSec teams need to respond.

Who This Report Is For

This report is written for CISOs, AppSec leaders, DevSecOps engineers, and platform security teams who need an evidence-based view of how the application security threat landscape is changing in 2026,  and what to do about it.

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