Mitigate AI Risk with Holistic AI’s NIST AI RMF

With Holistic AI’s Governance platform, organizations can tackle the complexities of implementing the NIST AI RMF with ease.

Identify your high-risk AI use cases.

Adopt appropriate and targeted risk management measures to mitigate identified risks for your AI use cases.

Complete technical documentation requirements.

Incorporate automated tools with human oversight to prevent or minimize risks upfront, enabling users to understand, interpret, and confidently use these tools. 

The Holistic AI Governance solution supports:

Adopt the NIST AI RMF with Holistic AI

Deploy and Govern AI with Confidence

From data privacy to transparency, and even environmental concerns, ensuring AI systems are safe, ethical, and compliant is critical. The NIST AI Risk Management Framework provides a comprehensive roadmap to help you navigate AI risks effectively, ensuring AI drives positive change rather than becoming a liability.

Continuous AI Risk monitoring

With Holistic AI’s continuous monitoring and control testing, your team will have visibility into any current or potential risks. By setting up alerts and assigning owners, you can swiftly detect and address any threats.

Automatic AI Risk Management

Our Governance platform features built-in self-assessments that allow you to effectively report on the effectiveness of your AI project. Conduct assessments to evaluate your security effectiveness and ensure compliance.

Enhance AI Oversight

Promote collaboration among AI governance committees and cross-functional stakeholders.

Policies

Streamline documentation, employee acceptance, and version history with AI-specific policies.

FAQ

What is the AI Risk Management Framework?

NIST’s AI RMF is a set of high-level voluntary guidelines and recommendations that organisations can follow to assess and manage risks stemming from the use of AI.

Who is the AI Risk Management Framework for?

The purpose of the AI RMF is to support organisations to ‘prevent, detect, mitigate and manage AI risks’. It is intended for any organisation developing, commissioning or deploying AI systems and is designed to be non-prescriptive, as well as industry and use-case agnostic. The end goal of the AI RMF is to promote the adoption of trustworthy AI, defined by NIST as high-performing AI systems which are safe, valid and reliable, fair, privacy-enhancing, transparent and accountable, and explainable and interpretable. Although NIST does not propose what an organisation’s risk tolerance level should be, the AI RMF can be used to determine this internally.

What do the four core components mean for my organization?

There are four core elements of the AI RMF: i) Govern; ii) Map; iii) Measure; iv) Manage.

• Govern: Organisations need to cultivate a culture of AI risk management and establish appropriate structures, policies and processes.

• Map: Organisations should understand exactly what the AI system is trying to achieve and why this is beneficial relative to the status quo.

• Measure: If organisations decide to proceed, they should then use quantitative and qualitative techniques to analyse and assess the risks of the system and how trustworthy it is.

What does AI Risk management mean for my organization?

AI Risk Management will become a core part of doing business - AI risk management will become an embedded and cross-cutting function in all major enterprises by the end of the decade, similar to privacy and cybersecurity. Not having adequate oversight and control over your AI systems will be seen as archaic and unacceptable. Regulators will require it, consumers will expect it and businesses will embrace it as a strategic necessity. As the inevitable scandals mount, effective AI risk management is likely to become a competitive differentiator for firms, just like privacy is today.

Mitigate AI Risk with Holistic AI’s NIST AI RMF