AI is now part of how software executes, not just how it’s written.
And that shift is quietly changing how application and software supply chain attacks work.
In 2025, many of the most impactful attacks didn’t rely on zero-days or exotic exploits. They abused automation, trusted CI/CD pipelines, open-source dependencies, and AI-generated code, letting normal workflows do the damage.
Our new report, <a href="https://xygeni.io/resources/download-report-new-application-security-attack-trends-for-2026/?utm_source=daily-dev&amp;utm_medium=post" target="_blank" rel="noopener nofollow">New Application Security Attack Trends for 2026</a>, breaks down what actually changed, and why traditional AppSec models are struggling to keep up.
Inside the report:
💠How AI changed the economics of software supply chain attacks
💠Why CVEs and static analysis missed trust- and workflow-based attacks
💠How persistence shifted from access to build artifacts and releases
💠What attackers optimized in 2025, and will keep optimizing in 2026
💠Why AppSec must move from issue lists to system-level control of execution and trust
💠And much more!
This isn’t about adding more tools or more scans. It’s about understanding how risk propagates when software is built and shipped at machine speed.
Take a look at the report: 📘 𝐍𝐞𝐰 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐭𝐭𝐚𝐜𝐤 𝐓𝐫𝐞𝐧𝐝𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟔
If you’re building, securing, or operating modern software systems, this one’s worth a read.
𝐁𝐮𝐢𝐥𝐝 𝐒𝐚𝐟𝐞, 𝐒𝐡𝐢𝐩 𝐒𝐭𝐫𝐨𝐧𝐠.

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Dev World

AI has fundamentally altered application security by becoming part of software execution, not just development. Modern attacks in 2025 exploited automation, CI/CD pipelines, open-source dependencies, and AI-generated code rather than traditional zero-days. The threat landscape has shifted from vulnerability-based exploits to trust- and workflow-based attacks, with persistence moving to build artifacts and releases. Traditional AppSec approaches focused on CVEs and static analysis are insufficient; security must now address system-level control of execution and trust in environments where software is built and shipped at machine speed.

AI Didn’t Just Speed Up Development, It Changed the Threat Model