U.S., UK, Australian and New Zealand government cybersecurity related agencies have recently released a joint report titled, “AI Data Security Best Practices for Securing Data Used to Train & Operate AI Systems.” The report provides advice for addressing potential threats to AI data security. Notably, for the U.S., the report provides minimum security standards that may be applicable in subsequent litigation and important in drafting contracts concerning AI use and adoption. The report states:
Data security is of paramount importance when developing and
operating AI systems. As organizations in various sectors rely more and more on
AI-driven outcomes, data security becomes crucial for maintaining accuracy,
reliability, and integrity. The guidance provided in this CSI outlines a robust
approach to securing AI data and addressing the risks associated with the data
supply chain, malicious data, and data drift. Data security is an ever-evolving
field, and continuous vigilance and adaptation are key to staying ahead of
emerging threats and vulnerabilities. The best practices presented here
encourage the highest standards of data security in AI while helping ensure the
accuracy and integrity of AI-driven outcomes. By adopting these best practices
and risk mitigation strategies, organizations can fortify their AI systems
against potential threats and safeguard sensitive, proprietary, and mission
critical data used in the development and operation of their AI systems.
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