According to a recent LinkedIn post from Gomboc AI, the company recently demonstrated its infrastructure-as-code security tooling at an NYC workshop. The post describes running a Checkov scan on a real project and then using Gomboc AI to automatically remediate identified issues.
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The post indicates that the system ingested 216 existing rules, generated three new rules to fill coverage gaps, and addressed 55 security failures in 11 minutes without manual patching. The message emphasizes deterministic fixes designed to keep pace with modern development pipelines and contrasts this with traditional ticket-driven, manual security workflows.
For investors, the described capability suggests a value proposition centered on reducing remediation time and labor costs for DevSecOps teams while potentially improving security posture. If this performance generalizes in production environments, it could support premium pricing, higher customer retention, and competitive differentiation in the cloud and application security tooling market.
The workshop-style demo format also implies a focus on direct engagement with technical buyers, which may help shorten sales cycles and deepen product adoption. As broader demand grows for automated security and compliance in CI/CD pipelines, Gomboc AI’s positioning around deterministic remediation may enhance its appeal to enterprises seeking to scale secure development without proportionally increasing headcount.