A LinkedIn post from Gomboc AI discusses the implications of Project Glasswing, which the post describes as an example of AI finding security vulnerabilities at scale and at a level comparable to human experts. The post characterizes this capability as an important shift but argues that it addresses only part of the cybersecurity challenge.
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According to the post, the harder and more impactful problem for security teams is not detecting vulnerabilities but remediating them efficiently. The post suggests that without improvements to the remediation process, large-scale AI detection could simply increase backlog rather than meaningfully improving security posture.
The company’s LinkedIn commentary points investors toward “determinism” as a next phase in cybersecurity automation, implying a focus on predictable, automated remediation rather than just faster detection. If Gomboc AI is developing or promoting deterministic remediation technologies, this could position the company as a differentiated player in AI-driven security operations and potentially support premium pricing or deeper enterprise adoption.
For investors, the emphasis on remediation and determinism hints at a strategy aimed at addressing a recognized bottleneck in security workflows, which may expand the addressable market beyond vulnerability scanning. Adoption of such capabilities by large enterprises could translate into recurring revenue opportunities, though the post does not provide quantitative details on customers, pricing, or product readiness.