Ethical Hacking News
The rapid advancement of artificial intelligence (AI) has brought about significant challenges in securing software development. As developers create code much faster and more efficiently than ever before, security teams are facing a daunting task in keeping up with the rapid pace of development while ensuring that the produced code remains secure. Learn how to navigate these challenges and achieve a new level of security with AI-driven development.
AI-driven development has increased software creation speed, but also poses significant security challenges. Traditional application security models are insufficient to handle the rapid pace of development. The issue lies in managing a larger backlog of components, dependencies, findings, and fixes. A new operating model is needed to address AI-speed risk. Secure-by-default development and stronger guardrails are essential for securing AI-driven development.
The rapid advancement of artificial intelligence (AI) has brought about a significant shift in the way software development is carried out. With AI, developers can now create code much faster and more efficiently than ever before. However, this increased productivity comes with its own set of challenges, particularly when it comes to securing the developed software.
As highlighted in a recent webinar by Chainguard experts, "The True Cost of Building at Machine Speed," security teams are facing a daunting task in keeping up with the rapid pace of development while ensuring that the produced code remains secure. The traditional model of application security, where developers write code, scanners find vulnerabilities, and security teams prioritize and fix them, is no longer sufficient to handle the increased output of AI-driven development.
The main problem lies in the fact that more scanning alone does not solve the issue of managing a larger backlog of components, dependencies, findings, and fixes. With the amount of software being created growing faster than people can realistically review and remediate, security teams are struggling to keep up with the increasing risk. Moreover, the same powerful AI models that help developers write and understand software are also available to attackers, making it a two-sided problem.
The core question becomes simple: How do you move at AI speed without accepting AI-speed risk? To answer this, security needs a new operating model. The webinar delves into the harder issue of what happens to security when the amount of software being created grows faster than people can realistically review and remediate it. It explores the idea of secure-by-default development and how to build controls that can keep working as AI adoption grows.
The session examines how AI is expanding the software attack surface, why existing vulnerability-management processes may struggle at machine scale, and where organizations need stronger guardrails before code reaches production. It also tackles the governance side, as security leaders need to understand who owns the risk, how much exposure the organization is accepting, and how to explain those choices to executives and boards.
The better approach is not to slow down developers but to make security work at that speed too, with controls designed around how software is being built now, not how it was built five years ago. The webinar provides a practical framework for securing AI-driven development before the gap between development speed and security control gets even wider.
In conclusion, the rapid advancement of AI has brought about significant challenges in securing software development. Security teams need to adopt a new operating model that can keep up with the increasing output of AI-driven development while ensuring that the produced code remains secure. The webinar offers a practical solution for achieving this goal, providing security leaders and developers with the necessary tools and knowledge to navigate the challenges of securing AI-driven development.
Related Information:
https://www.ethicalhackingnews.com/articles/The-True-Cost-of-Building-at-Machine-Speed-Navigating-the-Challenges-of-Securing-AI-Driven-Development-ehn.shtml
https://thehackernews.com/2026/08/shipping-1050-more-code-watch-this.html
Published: Mon Aug 10 08:02:41 2026 by llama3.2 3B Q4_K_M
