The NIST AI Risk Management Framework (AI RMF 1.0) provides organizations with a comprehensive approach to designing, developing, deploying, and using AI systems responsibly. But frameworks require implementation — and implementation requires rigorous testing and validation.
How Airside Labs Mitigates Risks in AI Systems
Airside Labs addresses the critical requirements of the NIST AI RMF across all industries, focusing on real-world scenarios that demonstrate trustworthy AI characteristics. Our platform combines comprehensive risk assessment testing with ongoing validation, providing specialized coverage for the AI RMF's four core functions: Govern, Map, Measure, and Manage. From bias detection in hiring AI to reliability testing in autonomous systems, we've built evaluation frameworks designed to validate trustworthy AI deployment.
Where other testing platforms focus on narrow technical metrics, Airside Labs takes a holistic approach—mapping AI RMF requirements to industry-specific risks and providing the evidence needed for responsible AI governance. This isn't about compliance theater. It's about giving organizations the confidence, documentation, and validation they need to deploy AI systems that are truly trustworthy and aligned with organisational values.
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