Harness AI, integrated into Security Testing Orchestration (STO), significantly enhances security testing by leveraging generative AI to provide actionable security fixes, thereby reducing time-to-remediation (TTR) without compromising development speed. The integration enables direct code suggestions and pull requests, allowing DevOps and security teams to address vulnerabilities efficiently throughout the software delivery lifecycle. Harness AI operates by initiating security scans for container images, code repositories, and infrastructure as code (IaC), and uses structured prompts to interpret vulnerabilities, which are analyzed by foundational LLMs from Google and OpenAI. The AI-generated remediation suggestions are presented in a user-friendly format, allowing developers to either open new pull requests or incorporate fixes into existing ones, ensuring seamless application of changes. Moreover, the system provides editable remediation options for greater contextualization and accuracy, while maintaining security and privacy through rigorous reviews and checks against AI-specific risks. This approach not only enhances security responsiveness but also ensures that AI-based solutions are safe and reliable, supported by continuous improvement via anonymized telemetry data.