Qubika is compliant with NIST AI Risk Management Framework (AI RMF)
Qubika is proud to share that we are now aligned with the NIST AI Risk Management Framework (AI RMF). Compliance with NIST’s framework underscores our dedication to developing enterprise-grade AI solutions that are transparent, ethical, and well-suited for deployment in highly regulated sectors like finance and healthcare.
We’re proud to announce that Qubika is now compliant with the NIST AI Risk Management Framework (AI RMF). This milestone reinforces our commitment to building powerful enterprise-grade AI systems that are transparent, ethical, and ready for use in highly-regulated industries.
As organizations accelerate their use of AI to drive business outcomes, the need to manage AI risks, including bias, drift, privacy violations, compliance, or lack of explainability, has never been more urgent. With this, Qubika offers a new level of confidence for enterprises seeking to deploy AI responsibly and at scale. Responsible AI is a key part of Qubika’s AccelerateAI framework.
What NIST AI RMF compliance means
Developed by the U.S. National Institute of Standards and Technology, the AI RMF provides a structured, voluntary framework to manage AI risks across the full system lifecycle. It focuses on four key functions:
Govern. Establish organizational policies, roles, and accountability to guide AI use.
Map. Understand the context, scope, and stakeholders involved in AI applications.
Measure. Assess risks using qualitative and quantitative metrics, including fairness, robustness, and explainability.
Manage. Implement risk response strategies and monitor performance over time.
By becoming compliant, Qubika has demonstrated that our internal practices, client services, and AI governance structures are aligned with the latest NIST standards for trustworthy and responsible AI.
Inside the compliance process
Achieving compliance involved a comprehensive effort across teams and disciplines. Here’s what it involved:
Framework mapping and readiness assessment. We conducted a deep audit of our AI development lifecycle, mapping it against each AI RMF function.
Policy and control alignment. New risk controls were integrated into our engineering, design, and data governance workflows, with traceability built into versioning, model documentation, and performance monitoring.
Company-wide training into AI risks. We launched organization-wide training on AI risks and responsible use, supported by the creation and adoption of a vetted AI toolbox. This ensures that every team – from engineering to data science – has the tools and knowledge to make AI decisions aligned with NIST best practices.
Why this matters for enterprises and their AI systems
Enterprises are rapidly integrating AI into critical operations – whether it’s decision automation in financial services, predictive modeling in healthcare, or personalized customer experiences in retail. But innovation without governance invites risk.
Compliance with the NIST AI RMF provides enterprises with three key advantages:
Assurance of best practices. Qubika’s compliant processes align with globally recognized standards, reducing compliance uncertainty and regulatory exposure.
Faster deployment, lower risk. With trustworthy AI governance embedded from the start, clients can deploy models more confidently – without sacrificing speed or agility.
Future-readiness. As regulations evolve (e.g., EU AI Act, ISO/IEC 42001), enterprises working with AI RMF-aligned partners will be better positioned to adapt and scale responsibly.
Looking ahead
Qubika’s compliance with the NIST AI RMF is just one step in our broader mission to help organizations lead with purpose-driven, secure, and impactful AI. We’ll continue to invest in frameworks, tools, and talent that elevate how AI is built, governed, and used.
If your organization is exploring AI initiatives and looking to embed trust from day one, let’s talk. Together, we can turn responsible AI into a competitive advantage.
Learn more about the NIST AI RMF here, or reach out to our team to explore how we can help you operationalize it in your organization.
Cybersecurity Manager and AI Technical Director and Solutions Architect at Qubika
Michell Mamrut is Qubika’s Cybersecurity Manager and a seasoned cybersecurity professional with over 12 years of experience. He holds a degree in Computer Engineering and has furthered his education with a postgraduate degree in cybersecurity. His expertise spans across secure development lifecycles, penetration testing, continuous monitoring, WAF, IDS, Cloud Security and much more.
As an AI Technical Director and Solutions Architect at Qubika, Nico is at the forefront of digital transformation. He’s a seasoned software engineer with extensive experience across various tech stacks and cloud environments. Nicolas is particularly excited about the potential of AI, consistently working to bridge complex ideas with practical, real-world solutions.
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