Why Developers Are Struggling to Secure Code
Developers are struggling to design security into their software as they face competing priorities, according to a recent study by Secure Code Warrior. Two–thirds of the participants admitted they routinely left known vulnerabilities and exploits in their code, and only 14% listed application security as a top priority.
Govern AI-driven development before it ships
Measure AI-assisted risk, enforce secure coding policy at commit, and accelerate secure delivery across your SDLC.
Explore more articles
Access expert content on secure coding, AI governance, and software risk management.
TalkDev: Navigating the Risks: Understanding the Challenges of AI Software Development
AI software development continues to evolve at a rapid pace for developers and their teams. , CEO & Co-Founder at Secure Code Warrior, posits that as the norm shifts from human-written code to AI-assisted coding and agentic workflows, many security teams now face a critical challenge: managing the new risks that autonomous systems introduce.
CIO Influence: Rules for AI in Software Development: The Four-point Framework CISOs Can Adopt Today
The question facing software development shops isn’t whether Generative AI should be used to create software code, or whether the percentage of code generated by GenAI will increase in the near future. That horse bolted in the last 24 months. The question is how to maintain security and compliance while GenAI and artificial intelligence agents are putting software code in play.
Secure AI-driven development before it ships
See developer risk, enforce policy, and prevent vulnerabilities across your software development lifecycle.
