A LinkedIn post from RunSafe Security highlights a new episode of its podcast series, Exploited: The Cyber Truth, focused on the risks associated with AI-generated code in embedded systems. The episode features Joe Saunders, Jacob Beningo, and Paul Ducklin discussing how rapidly produced AI code should be treated as untrusted and how it contributes to an expanded attack surface.
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The post suggests growing industry concern around the accountability gap when machines assist in software development, particularly in security-sensitive embedded environments. For investors, this content positions RunSafe Security as a thought leader in managing AI-related software risk, which could support demand for its security offerings as enterprises seek tools and expertise to secure increasingly AI-driven development workflows.
By emphasizing practical ways engineers can adopt AI responsibly, the LinkedIn content implies a focus on actionable guidance rather than pure promotion. This educational stance may help deepen engagement with security and engineering teams, potentially strengthening RunSafe Security’s pipeline and reinforcing its relevance as cybersecurity standards and regulatory expectations evolve around AI-assisted coding practices.