Security teams are dealing with faster release cycles, increased automation across CI/CD pipelines, a widening attack surface, and new risks introduced by AI-assisted development. As organizations ship more code and rely heavily on open-source and third-party services, security can no longer live at the end of the pipeline. It must shift to a model that is enforced continuously — built into architectures, workflows, and day-to-day decisions — with controls that scale across teams and systems rather than relying on one-off reviews.
This report examines how teams are responding to that shift, from AI-powered threat detection to identity-first and zero-trust models for supply chain hardening, quantum-safe encryption, and SBOM adoption and strategies. It also explores how organizations are automating governance across build and deployment systems, and what changes when AI agents begin participating directly in DevSecOps workflows. Leaders and practitioners alike will gain a grounded view of what is working today, what is emerging next, and what security-first software delivery looks like in practice in 2026.
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