From Reaction To Prevention In The Era Of The Never-Ending Attack Surface
Even relatively small security issues on the surface have opened up opportunities for significant cyber-attacks. The Log4Shell exploit is a recent example of how a malicious code has revealed opportunities for a successful attack. Many businesses have admitted to knowingly shipping vulnerable code, and clearly, this is a calculated risk based on time to market with new features and products. However, the consequences of these calculated risks to shipping lower-quality code could be far greater than projected, resulting in very costly data breaches.
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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.
