AI is rapidly changing the way software is developed. From AI coding assistants to automated workflows, organizations are using AI to accelerate development cycles, improve productivity, and deliver applications faster than ever before.
But as development speeds increase, so do security concerns.
The latest Black Duck Global DevSecOps Report highlights a growing challenge facing modern enterprises: balancing the benefits of AI-driven development with the risks it introduces to application security, governance, and software quality.
But as development speeds increase, so do security concerns.
The latest Black Duck Global DevSecOps Report highlights a growing challenge facing modern enterprises: balancing the benefits of AI-driven development with the risks it introduces to application security, governance, and software quality.
Based on feedback from over 1,000 software and security professionals worldwide, the report paints a clear picture of an industry under pressure. Development teams are expected to move faster, security teams are overwhelmed with alerts and fragmented tools, and organizations are struggling to keep security aligned with innovation.
One of the report’s biggest findings is the growing issue of security alert fatigue. Many organizations now rely on multiple disconnected security tools, creating duplicate findings, excessive noise, and operational inefficiencies. Instead of simplifying security, tool sprawl is making it harder for teams to focus on real risks and respond effectively.
At the same time, AI adoption continues to rise. AI coding assistants are helping developers write code faster and identify issues earlier in the development lifecycle. However, many organizations remain concerned about the risks associated with AI-generated code, including insecure coding practices, governance gaps, intellectual property concerns, and uncontrolled AI usage across development teams.
The report also reveals that security testing still lags behind development velocity. Many organizations continue to rely on manual onboarding and fragmented workflows, while a large percentage of applications are not fully tested for vulnerabilities. As release cycles become faster and more continuous, traditional security processes are struggling to keep pace.
Rather than simply adding more security tools, organizations are now prioritizing better integration between development and security workflows. Embedding security directly into IDEs, CI/CD pipelines, and developer environments is becoming a critical strategy for reducing friction while improving visibility and remediation speed.
The shift is clear: modern DevSecOps is no longer just about scanning code. It’s about creating a seamless workflow where developers, security teams, and AI-powered tools work together efficiently without slowing innovation.
The report also highlights the importance of stronger AI governance and developer-centric security practices as organizations continue expanding their AI initiatives. Businesses that can successfully combine speed, automation, and integrated security will be better positioned to scale AI safely and maintain trust in their software.
As AI becomes increasingly embedded in software development, balancing innovation with security is quickly becoming one of the most important challenges facing modern enterprises.
📩 Contact AlJammaz Technologies to learn more and access the full Black Duck Global DevSecOps Report.
One of the report’s biggest findings is the growing issue of security alert fatigue. Many organizations now rely on multiple disconnected security tools, creating duplicate findings, excessive noise, and operational inefficiencies. Instead of simplifying security, tool sprawl is making it harder for teams to focus on real risks and respond effectively.
At the same time, AI adoption continues to rise. AI coding assistants are helping developers write code faster and identify issues earlier in the development lifecycle. However, many organizations remain concerned about the risks associated with AI-generated code, including insecure coding practices, governance gaps, intellectual property concerns, and uncontrolled AI usage across development teams.
The report also reveals that security testing still lags behind development velocity. Many organizations continue to rely on manual onboarding and fragmented workflows, while a large percentage of applications are not fully tested for vulnerabilities. As release cycles become faster and more continuous, traditional security processes are struggling to keep pace.
Rather than simply adding more security tools, organizations are now prioritizing better integration between development and security workflows. Embedding security directly into IDEs, CI/CD pipelines, and developer environments is becoming a critical strategy for reducing friction while improving visibility and remediation speed.
The shift is clear: modern DevSecOps is no longer just about scanning code. It’s about creating a seamless workflow where developers, security teams, and AI-powered tools work together efficiently without slowing innovation.
The report also highlights the importance of stronger AI governance and developer-centric security practices as organizations continue expanding their AI initiatives. Businesses that can successfully combine speed, automation, and integrated security will be better positioned to scale AI safely and maintain trust in their software.
As AI becomes increasingly embedded in software development, balancing innovation with security is quickly becoming one of the most important challenges facing modern enterprises.
📩 Contact AlJammaz Technologies to learn more and access the full Black Duck Global DevSecOps Report.
| global_devsecops_report.pdf |
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