AI Security Guides

Plan defenses for AI applications, agents, and model pipelines.

Start by identifying what your system can read, what it can change, and who can approve sensitive actions. Use these guides to turn those boundaries into controls your team can check.

5 resources

AI Data Security
Joint guidance for protecting training, testing, and operational data throughout the AI system lifecycle.
New Zealand National Cyber Security Centre, NSA, and international partners · Public guidance
Deploying AI Systems Securely
Deployment guidance for organizations operating AI systems, with practical controls for the hosting environment and ongoing maintenance.
National Security Agency and international partners · Public guidance
Google Secure AI Framework
A catalog of defensive AI controls for securing data, models, infrastructure, and agent permissions.
Google · Public guidance
Guidelines for Secure AI System Development
A secure-by-design guide for building, deploying, and maintaining AI systems, including applications built on third-party models.
UK National Cyber Security Centre, CISA, and international partners · Public guidance
NIST SP 800-218A: Secure Software Development for Generative AI
A profile of NIST's Secure Software Development Framework for generative AI and dual-use foundation models.
National Institute of Standards and Technology · Public guidance