According to a recent LinkedIn post from SandboxAQ, the company is drawing attention to what it describes as a significant gap between AI deployment and security oversight. The post cites figures suggesting that while most organizations have AI in production, a large majority have not undertaken comprehensive security assessments, leaving room for so‑called Shadow AI.
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The company’s LinkedIn post highlights risks such as unsanctioned models and agents embedded in code repositories and files that may evade traditional scanners. SandboxAQ links this risk narrative to its AI-SPM Security Checklist, positioning its tooling as a potential way for enterprises to evaluate and secure AI systems from code through to production.
For investors, the post suggests SandboxAQ is targeting a growing segment of AI security and governance demand as enterprises scale AI usage under tighter regulatory and risk-management scrutiny. If the company can convert this awareness messaging into product adoption, it could reinforce its role in the emerging AI security stack and support long-term revenue opportunities in a niche with high compliance sensitivity.