A LinkedIn post from Gomboc AI describes a recent NYC workshop in which the company demonstrated its infrastructure-as-code security tooling on a real project. According to the post, a Checkov scan surfaced 55 security failures, after which Gomboc’s platform applied 216 existing rules and generated three new rules to cover previously unaddressed gaps.
Claim 55% Off TipRanks
- Unlock hedge fund-level data and powerful investing tools for smarter, sharper decisions
- Discover top-performing stock ideas and upgrade to a portfolio of market leaders with Smart Investor Picks
The post suggests that these automated, deterministic fixes remediated all 55 issues in approximately 11 minutes, with no manual patches or iterative back-and-forth. For investors, this positions Gomboc’s technology as a potential force-multiplier for DevSecOps teams by reducing alert fatigue and shortening remediation cycles, which could support adoption among large enterprises managing complex pipelines.
If the demonstrated performance is repeatable at scale, Gomboc AI may be able to differentiate itself in the competitive cloud security and developer tooling market, where speed and accuracy of remediation are key buying criteria. Strong traction with security-conscious customers could translate into higher recurring revenue potential and improved pricing power relative to less automated solutions.
The emphasis on integrating with existing scanning tools like Checkov hints at a strategy of fitting into established workflows rather than displacing them, which may lower adoption friction. Over time, wider use of rule-generation and deterministic remediation capabilities could expand Gomboc AI’s addressable market across regulated industries that face high costs from slow or manual security patching processes.