Artificial Intelligence is reshaping how software is built. From automating boilerplate tasks to accelerating delivery timelines, AI-powered coding assistants like GitHub Copilot and ChatGPT-based tools are becoming indispensable in modern development.
The upside is clear: faster projects, higher efficiency, broader accessibility, and more room for developers to focus on complex challenges. But with speed comes risk, and in security, those risks compound quickly.
AI-generated code is not immune to flaws. In fact, it often introduces new vulnerabilities:
A recent Checkmarx study (2025) highlights the scale of the problem:
The data is clear: AI is accelerating both productivity and risk.
Organizations can reap AI’s benefits without compromising security by embedding safeguards into their SDLC:
AI-generated code is here to stay, and its role will only expand. The question is whether organizations will adopt it recklessly or responsibly. Those who combine speed with security will outpace competitors; those who ignore the risks will face breaches that erase their gains.
At Cyber Node, we help organizations close the gaps left by AI coding assistants. From secure code reviews to penetration testing, we ensure that innovation doesn’t come at the expense of resilience.
Don’t let AI-driven speed open the door to attackers. Build with confidence.
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