Static analysis solves the immediate problem of AI code verification, but managing AI in safety-critical systems requires a comprehensive strategy.
This AI safety compliance guide provides the framework for mitigating risks, adapting processes, and mastering new AI safety standards. Inside, you’ll discover how to:
- Pinpoint specific risks of AI in safety-critical systems for proactive remediation
- Adapt existing functional safety standards to new AI-specific standards rather than starting from scratch
- Implement best practices to maintain compliance while accelerating AI adoption
- How static analysis tools integrate into AI-accelerated development for continuous compliance verification
How to Bridge the Gap Between AI Innovation and Functional Safety
Artificial intelligence promises faster development, but it also injects unpredictable risks into your safety-critical systems. This makes reliance on traditional functional safety standards like ISO 26262 insufficient. Manual code reviews can't keep pace, allowing critical safety flaws to jeopardize your time-to-market, customer safety, and your company’s reputation.
When AI models continue evolving in production, how do you capture AI's productivity benefits while maintaining functional safety compliance?
Static Analysis as Your First Line of Defense Against AI Vulnerabilities
When AI introduces unpredictability, static analysis tools enforce order. Unlike manual reviews that can't scale with AI-accelerated development, static analysis tools like Perforce QAC and Klocwork act your compliance safety net, so you can:
- Catch AI-generated vulnerabilities and issues before they reach production
- Prove compliance with emerging functional safety standards that account for AI, such as ISO/IEC TR 5469 and ISO/DPAS 8800.
- Generate comprehensive audit trails and documentation to prove compliance without manual effort
- Access real-time feedback via scalable scanning of millions of lines of code
- Apply compliance and safety standards across all code to ensure your systems are verifiably safe
However, a tool is only as powerful as the strategy behind it.
Trusted Across Automotive, Medical Device, Aerospace & Defense, and More
“On 2 to 3 million lines of code, we ran Klocwork against multiple competitors. It handledthe code base very well and had the ability to deal with C++ templates in a useful way. In comparison, there was also a low rate of false positives.”
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