Healthcare organizations face growing risks from AI-generated code in medical devices
RunSafe Security is warning healthcare and medical device makers that AI tools can speed up the discovery and exploitation of software vulnerabilities. The company cited unauthorized access to Anthropic's Claude model as evidence that hardened code and runtime protections are essential to reduce exploitable weaknesses before they reach production.
The risks are particularly acute in medical devices, where AI-generated code introduces new supply chain vulnerabilities. RunSafe is hosting a webinar with CEO Joe Saunders and Splyce LLC to address AI-generated code, open-source dependencies, and regulatory compliance in healthcare settings.
What healthcare leaders should track
RunSafe plans to present at the Health-ISAC 2026 Spring Americas Summit, targeting healthcare and medical device security leaders. The company will focus on three areas:
- Software supply chain security
- Software bills of materials (SBOMs) for embedded systems
- Defenses against memory-based software attacks
The timing matters. Regulators are increasing scrutiny of medical device security, and organizations need to understand where vulnerabilities originate in their supply chains.
The SBOM gap in embedded systems
Traditional software bill of materials tools often miss components in embedded and firmware environments. RunSafe emphasizes generating SBOMs at the build stage to capture the full picture of dependencies and potential risks.
For medical device manufacturers, this means identifying vulnerabilities in code that standard package managers don't track. In critical infrastructure and industrial IoT systems, these gaps can have serious consequences.
Security without replacement costs
RunSafe is positioning runtime code hardening as a way to strengthen legacy systems without expensive overhauls. For healthcare organizations with constrained budgets, this approach applies to industrial control systems and operational technology governed by standards like IEC 62443 and NIST 800-82.
The message is straightforward: you can add security layers to existing systems without replacing them entirely.
Learn more about AI for Healthcare and how these tools are being deployed across the industry.
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