AI in application security is no longer optional; it’s becoming a core execution layer in modern software delivery. In 2026, AI will also be one of the primary forces shaping how software supply chain attacks are designed, scaled, and sustained. This report analyzes how attackers exploited automation, trust, and AI-driven workflows in 2025, and why these patterns now define the AppSec threat model for 2026, including emerging AI-generated code security risks that accelerate insecure patterns and reduce review effectiveness.
In this report, you’ll gain a clear, evidence-based view of:
How AI in application security changed the economics of software supply chain attacks: From high-volume malicious packages to autonomous, agent-driven campaigns that operate at machine speed.
Why traditional AppSec signals failed in 2025: CVEs, severity scores, and static analysis missed attacks that abused trust and automation instead of vulnerabilities.
How persistence shifted from access to artifacts: Why compromising the build once can create long-lived downstream risk through trusted artifacts, caches, and releases.
What attackers optimized, and will keep optimizing in 2026: Speed, scale, legitimacy, automation, and inherited trust across code, pipelines, and distribution systems.
The defensive shifts modern AppSec teams need now: Moving from issue-centric workflows to system-level control of execution, provenance, and trust.
Download the report to understand how AI in application security is reshaping software supply chain risk, and what to do about it.
