The Next Step for AI Coding: Built-In Security
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AI coding assistants are becoming part of everyday development, raising new questions about trust, security, and code quality. This month, we're exploring how to keep security embedded in every AI-assisted workflow.
Security spotlight: Bring Kiuwan into your AI coding assistant
AI-assisted development is moving security closer to the moment code is written. Kiuwan can now run directly through AI coding assistants like Claude Code, Cursor, Codex, Copilot, and Gemini, so you can scan code and remediate vulnerabilities without leaving your existing workflow.
Instead of relying on an AI model to determine what is or isn't secure, remediation is grounded in Kiuwan's security analysis and findings. You can get help fixing issues in the IDE, while results flow into your Kiuwan account for centralized visibility and tracking.
Explore the AI Integration in the Kiuwan User Guide
Get the Skills and Setup Instructions on GitHub
Security news from around the web
🤖 AI coding adoption is soaring… but trust isn't. Dark Reading reports that enterprise use of AI-generated code has reached 97%, but 96% of respondents don't trust it to be correct as-is. Yet, only 48% of developers say they always review it before committing.
🧠 The ability to evaluate AI-written code is becoming more important. According to The Guardian, some software engineers are doubling down on fundamentals and adapting their skills, with human judgment playing an increasingly important role in reviewing what AI produces.
💻 Software development hiring may be starting to rebound. CIO reports that U.S. software development job postings have risen 15%, even as overall job postings declined 7%. The recovery comes from a low starting point, but it suggests employers are renewing their search for technical talent as major technology initiatives move forward.
Community insights: More code is putting security workflows to the test
The 2026 Sembi Software Quality Pulse Report, which is based on responses from nearly 3,800 software professionals, found that 53% of code is now AI-generated or AI-assisted. However, only 9% of security teams report fully integrated toolchains with DevOps, and just 51% of detected security issues are true positives.
Taken together, those findings point to a growing workflow challenge: more code is moving through security processes that are often disconnected and already generating significant noise. This means that as development volume grows, the ability to prioritize meaningful findings and get them into developers' hands fast is just as important as detecting them in the first place.
Before you go: See how Kiuwan and PreEmptive work
Every week, we host live product demos where you can see exactly how Kiuwan and PreEmptive work. Whether you're exploring these tools for the first time or looking for ways to do more with them, you'll see practical workflows designed to help you work more efficiently and strengthen application security.
It's a fantastic chance to learn directly from our product specialists. Bring your questions, see the tools in action, and get expert-level instruction that you can put to work right away.
Enquire about the next demo or book a demo yourself.