TLP Clear Joint Cybersecurity Information - Deploying AI Systems Securely

Executive Summary

Deploying artificial intelligence (AI) systems securely requires careful setup and configuration that depends on the complexity of the AI system, the resources required (e.g., funding, technical expertise), and the infrastructure used (i.e., on premises, cloud, or hybrid). This report expands upon the ‘secure deployment’ and ‘secure operation and maintenance’ sections of the Guidelines for secure AI system development and incorporates mitigation considerations from Engaging with Artificial Intelligence (AI). It is for organizations deploying and operating AI systems designed and developed by another entity. The best practices may not be applicable to all environments, so the mitigations should be adapted to specific use cases and threat profiles. [1], [2]

AI security is a rapidly evolving area of research. As agencies, industry, and academia discover potential weaknesses in AI technology and techniques to exploit them, organizations will need to update their AI systems to address the changing risks, in addition to applying traditional IT best practices to AI systems.

View the detailed report below.