AppSec / DevSecOps

TechSpective’s AppSec and DevSecOps section covers the security of software at the point of creation — where vulnerabilities are introduced, where the cost of fixing them is lowest, and where the pressure to ship fast most often wins out over the discipline to ship securely. Coverage treats application security as a strategic business problem, not just a developer checklist.

A defining tension in the section is velocity versus security. AI coding tools have dramatically accelerated software development while simultaneously making it easier to produce insecure code at scale. Articles examine how AI is transforming AppSec platforms like Checkmarx One, why the application security gap is widening as release cycles compress, and what the real costs are when organizations treat AppSec as optional. A sharp analysis of the market reaction to Claude Code Security separates genuine risk from competitive overreaction.

Tool and methodology coverage includes a reassessment of Static Application Security Testing (SAST) relevance in 2026, the persistent blind spot of mobile app security, Kubernetes monitoring strategies for DevSecOps teams, and PCI DSS 4.0 compliance requirements for payment-handling applications. The security risks of AI-generated code — first surfaced through ChatGPT and now amplified by agentic coding assistants — run as a consistent thread.

Contributors include Tony Bradley and enterprise security practitioners with AppSec and DevOps backgrounds. The audience is application security engineers, DevSecOps practitioners, CISOs managing software risk, and development leaders who understand that security can’t be bolted on after deployment.

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