As the new year begins, improving application security is crucial to avoid "AppSec exhaustion" and stay ahead of growing vulnerabilities. To achieve this, adopt workflows and tools that enable automated vulnerability fixes, such as Snyk's auto-fix capabilities, to quickly identify and address vulnerabilities in code, dependencies, containers, and infrastructure as code. Combining AI-powered speed with human expertise is also essential, ensuring seamless integration, actionable insights, and human validation to build trust in the growing role of AI in security. Furthermore, integrating security testing and remediation into development processes from the start can help build trust in AI-generated code. Finally, securing AI models should be a top priority by protecting training data, monitoring for data drift, implementing model hardening, and more. By making these improvements, organizations can prepare for the software development world of tomorrow and stay ahead of emerging security challenges.