Report Details AI and Security Gaps for Embedded Software

Awareness of security concerns is high, but actionable follow-through continues to waver.

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RunSafe Security, recently unveiled its latest report: AI in Embedded Systems: AI is Here. Security Isn’t. It offers a snapshot of how artificial intelligence (AI) usage is unfolding across embedded software development, and provides insights into what the data means for engineering, product, and security leaders who are integrating AI into their workflows.

Findings include:

  • AI-generated code is already running in production across medical devices, industrial control systems, automotive platforms, and energy infrastructure. It has moved from an experimental curiosity to an operational reality in embedded systems development.
  • 80.5 percent of respondents currently use AI tools in embedded development; 83.5 percent have deployed AI-generated code to production systems; 93.5 percent expect usage to increase over the next two years.
  • Risk from AI-generated code is widely recognized, but framed as manageable if organizations modernize, as 53 percent of respondents cited security as their top concern with AI-generated code and 73 percent rated cybersecurity risk as moderate or higher.
  • Runtime protection for AI-generated embedded software is rated "highly important" by most respondents, as 91 percent plan to increase investment in embedded software security over the next two years and 60 percent already use runtime protections to address memory safety vulnerabilities. 

To download the full 2025 AI in Embedded Systems Report: AI Is Here. Security Isn’t, click here

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