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2024 Sonatype Blog

Why Are OSS Attackers Always After CI/CD Credentials? Why AI Demands a New Approach to Shift Left Reduce AI Token Waste by Getting Decisions Right Earlier Optimising Out the Waste in Open Source Publishing The CRA Reporting Deadline Is Almost Here Hugging Face Security Incident: A New Class of Threat Is Here The AI Productivity Paradox: More Code, Not More Delivery A Reported Log4j RCE Is More Complicated Than It Looks Why Financial Services Is the Canary in the Code Mine 91 Spring CVEs: The AI Vulnerability Consumption Problem An Air Gap Doesn Securing Software at the Speed of AI: What Four Years of Data Reveal Major Themes at Black Hat 2026 Six npm Packages Use Ethereum Transactions to Retrieve Malicious Payloads Flooding Dropper Hits npm With 850 Malicious Packages Mini Shai-Hulud npm Attack: More Than 2,200 Components Impacted 5 Reasons Developers Still Download Malicious Packages Defining Community Open Source Is Harder Than It Looks Walking the Walk on Package Registry Sustainability AI Changes the Software Supply Chain and How We Secure It The Hugging Face Incident Changes the Vulnerability Equation What Is Grounding? Why AI Coding Assistants Need Better Intelligence Open Source, Open Infrastructure, and the Space Between Request for Comments: CARE and Maven Central Q2 2026 Open Source Malware Index AI Is Forcing a New Open Source Security Model Vulnerability Prioritization Is Missing the AI-Era Point The Hidden National Security Threat Inside AI-Driven Software Miasma Returns: Leo Platform Compromise in npm The Rise of Collective Defense for Open Source
Why Developer Experience Is the Foundation of DevSecOps S...
Aaron Linskens · 2026-04-29 · via 2024 Sonatype Blog

Application security is evolving. But for many organizations, execution still lags behind intent.

AI is accelerating development, security responsibilities are shifting toward developers, and tools are converging into broader platforms. These changes reshape how application security works in practice, exposing a growing gap between what teams can detect and what they can actually fix.

For most organizations, the issue is not a lack of tools or data. It's the inability to act on what they already have. Increasingly, that comes down to developer experience.

Application Security Has a Signal Problem, And AI Is Scaling It

Most application security programs already generate findings at scale. The problem isn't detection. It's volume.

As AI accelerates development, it also increases:

  • Code output.

  • Dependency usage.

  • Vulnerability volume.

At the same time, release cycles are shrinking, leaving less time to review and remediate. This creates noise. And noise creates friction, especially for developers responsible for fixing issues.

Traditional approaches built around scanning and triage don't scale in this environment.

The challenge isn't more tools but a better signal that would make it easier for developers to act on what matters most.

Developer Experience Is Now a Security Control

As security shifts left, developers are increasingly responsible for fixing vulnerabilities. That makes developer experience a key factor in security effectiveness.

If workflows are slow, noisy, or disconnected from how developers work, they won't be followed. Issues get delayed or ignored.

When security is embedded into existing workflows, it becomes easier to adopt and scale.

Approaches like application security posture management (ASPM) help by focusing on:

  • Prioritization to highlight what actually matters.

  • Automation to reduce effort and speed remediation.

  • Ownership to route issues to the right teams.

In this model, developer experience isn't just about usability. It's a core security control.

Prioritization Matters More Than Detection

Most organizations don't struggle to find vulnerabilities. They struggle to decide what to do about them. That's why prioritization is becoming more important than detection.

Not every vulnerability carries the same level of risk. Context matters:

  • Is the vulnerable code actually reachable?

  • Is it being actively exploited?

  • Does it impact a critical application?

Without this context, developers treat everything as urgent, which usually results in nothing being addressed efficiently.

By focusing on reachability, exploitability, and business impact, organizations can reduce noise and make it easier for developers to act.

Platform Consolidation Is Inevitable, but Not Without Risk

As application security evolves, consolidation is becoming a natural next step.

Bringing together testing, posture management, and supply chain security into unified platforms can simplify workflows, reduce tool sprawl, and improve visibility across the SDLC.

But consolidation comes with tradeoffs.

Not all platforms deliver on the promise of integration. Some introduce new complexity, limit flexibility, or create dependency on a single vendor.

More importantly, not all platforms improve the developer experience.

The key is not consolidation for its own sake but consolidation that reduces friction and helps developers move faster.

Software Supply Chain Risk Is the Foundation

One trend that cuts across all of these shifts is the growing importance of software supply chain security.

Modern applications are built on open source. That means risk doesn't start in proprietary code — it starts in the components that code depends on.

This is where developer experience becomes even more critical.

If developers don't have clear visibility into dependency risk — or if controls are too restrictive — issues either slip through or slow development unnecessarily.

Managing dependencies, enforcing policy, and identifying vulnerable components must happen in a way that supports developers, not blocks them.

What High-Performing Teams Will Do Differently

These trends don't just reshape the landscape. They change how effective teams operate. Instead of reacting to volume, high-performing teams focus on clarity and enabling developers to act.

In practice, that means:

  • Governing AI usage with clear guardrails instead of blocking it.

  • Using AI to accelerate remediation, not just generate code.

  • Prioritizing real risk over volume to reduce noise.

  • Embedding security into developer workflows to minimize friction.

  • Consolidating tools strategically, based on developer outcomes.

The common thread: security works best when it works the way developers do.

The Future of Application Security Depends on Developer Experience

Application security is becoming more complex.

AI is increasing the speed and scale of development. Platforms are reshaping how tools are delivered. And developers are taking on more responsibility for security outcomes.

But complexity alone doesn't determine success.

The organizations that improve application security maturity won't be the ones with the most tools or the most alerts. They'll be the ones that reduce noise, prioritize effectively, and make it easier for developers to fix what matters.

For a deeper look at how developer experience, AI, and platform consolidation are reshaping application security, explore the full Application Security Strategy 2026 report from Gartner®.

Gartner, Application Security Strategy 2026: AI, DevSecOps and Platform Consolidation, Dionisio Zumerle, 18 September 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

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