Principles for the Secure Integration of Artificial Intelligence in Operational Technology
Hosted by JANUS Associates, this document was developed by the CISA, the NSA, the FBI, and 5 International Partner nations. It outlines protections and best practices for AI implementation within Operational Technology scenarios. This 25-page document fosters a better understanding of AI, how to deploy it, and best practices for fortifying your cyber defenses.
Scope & Key Points:
Principles for the Secure Integration of Artificial Intelligence in Operational Technology outlines four key principles that critical infrastructure owners and operators can follow to leverage the benefits of AI in OT systems while reducing risk including:
- Understanding AI. Understand the unique risks and potential impacts of AI integration into OT environments, the importance of educating personnel on these risks, and the secure AI development lifecycle.
- Considering AI Use in the OT Domain. Assess the specific business case for AI use in OT environments and manage OT data security risks, the role of vendors, and the immediate and long-term challenges of AI integration.
- Establishing AI Governance and Assurance Frameworks. Implement robust governance mechanisms, integrate AI into existing security frameworks, continuously test and evaluate AI models, and consider regulatory compliance.
- Embedding Safety and Security Practices into AI and AI-Enabled OT Systems. Implement oversight mechanisms to ensure the safe operation and cybersecurity of AI-enabled OT systems, maintain transparency, and integrate AI into incident response