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Joint Cybersecurity Information: Deploying AI Systems Securely


Summary

This joint guidance provides best practices for securely deploying and operating AI systems, especially those developed externally, with the goal of strengthening confidentiality, integrity, and availability of the AI infrastructure. It is intended for organizations that are bringing AI systems into their environments (on-premises, cloud, hybrid) and need to manage cybersecurity risks. The document builds upon earlier guidance and tailors mitigations to the operational and deployment phase of AI systems.


Key Takeaways

  • Provides guidance on hardening infrastructure, securing models, and maintaining resliene throughout the deployment lifecycle
  • Organized into focus areas: securing the deployment environment, protecting AI system artifacts (weights, data, models), defending interfaces and APIs, monitoring for misuse, and preparing for incident response
  • Stresses that the host enviroment must have hardeneded configurations and be secure before AI integration
  • Aligns explicitly with Zero Trust principles, broader cybersecurity practices.
  • Reflects cross agency consensus

Additional Sources


Tags

deployment


License

TLP:CLEAR