Artificial Intelligence and Machine Learning: Supply Chain Risks and Mitigations
Handbooks and guidebooks
This guidance explains supply chain risks and mitigations for AI and ML systems in large organisations and infrastructure, including mining.
- Highlights unique risks in AI and ML supply chains
- Explains how compromised data and models affect security
- Describes best practices for secure AI deployment
- Addresses third-party and vendor management
- Supports staff training and communication on cyber risks
- Maps risks to NIST Adversarial Machine Learning taxonomy
How this may be relevant to you
This content is highly relevant to mining industry stakeholders managing AI and ML supply chains.
- Addresses secure management of AI data and models
- Supports compliance with ESG and cyber security standards
- Promotes transparency in technology adoption
- Highlights risks from third-party vendors and services
- Encourages robust risk management for post-mine land use
- Facilitates safe integration of AI into mining operations
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