reliably, at scale, and directly in code. While many AI Code Security Assistants emphasize detection, inline suggestions, or probabilistic fixes inside the IDE, Gomboc applies deterministic AI to automatically remediate issues in code. When an issue is identified, Gomboc generates a production-ready, standards-aligned fix and delivers it as a merge-ready pull request through Git workflows and CI/CD pipelines. Each fix is predictable, auditable, and produced the same way every time, eliminating manual triage, tickets, and back-and-forth between security and engineering teams. Gomboc integrates seamlessly into existing development workflows, embedding security and governance directly into the software development lifecycle without slowing delivery. By shifting remediation from advisory recommendations to deterministic execution, organizations reduce the risk of misconfigurations reaching production, accelerate remediation cycles, and improve developer productivity. Teams also benefit from measurable cost savings and continuous alignment with standards such as CIS, SOC 2, and cloud provider best practices. By grounding ACSA in deterministic, code-level execution rather than suggestions or alerts, Gomboc empowers teams to move faster, scale safely, and operate infrastructure with confidence as AI-generated code becomes the norm.