AI is now deeply embedded in how software is written, tested, and shipped.
But most application security models are still designed for a world where humans wrote the code and pipelines moved slowly.
That gap is now being actively exploited. In 2025, attackers didn’t need zero-days. They abused:
- Automation and trusted CI/CD pipelines
- AI-generated code that “looks fine” in review
- Inherited trust across dependencies, builds, and artifacts
Once malicious logic entered a trusted workflow, systems did the rest, at machine speed. We just released a new research report, New Application Security Attack Trends for 2026, that breaks down what actually changed and why many traditional AppSec signals failed.
What’s inside:
💠How AI changed the economics of software supply chain attacks
💠Why CVEs and static analysis missed trust-based, workflow-driven attacks
💠How persistence shifted from access to build artifacts and outputs
💠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
This isn’t about running more scans. It’s about understanding how risk propagates when AI and automation are part of the execution path.
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