Use of Artificial intelligence (AI) and machine learning (ML) has become increasingly common for modern organisations and products. These technologies introduce unique supply chain risks, which can threaten the cyber security of an organisation if not securely managed.
AI and ML systems rely on a complex ecosystem of models, data, software libraries and cloud infrastructure. This complexity creates unique vulnerabilities. Without safeguards in place, supply chains can be exposed to threats such as poisoned data, hidden backdoors and malicious code, all of which can compromise critical systems and open the door to further exploitation.
To mitigate these risks, organisations need to adopt secure supply chain practices tailored to the specific risks posed by AI and ML.
We’ve released a new publication for organisations to highlight the importance of AI and ML supply chain security, and address the key risks and mitigations that should be considered when developing or procuring an AI system.
Learn more about the supply chain risks and mitigations for artificial intelligence and machine learning.