Google's Secure
AI Framework
A practitioner’s guide to navigating AI security
Latest Insights
Explore curated resources and in-depth materials on AI security. Find white papers, webinars, and more to expand your knowledge with SAIF.
October 2026
Google Cloud Security Blog
How Google Does It: Using agents to help find, track, and fix vulnerabilities
How Google uses autonomous AI agents and automated patching pipelines to find, triage, and remediate software vulnerabilities at machine speed.
Securing Infrastructure Testing and Assurance Detection and Response
Securing Infrastructure Testing and Assurance Detection and Response
August 2026
Google Security Blog
The Evolving Role of the Red Team in the Era of Agentic Security
How AI red teaming is evolving to evaluate and harden autonomous agents and foundation models against emerging threats.
Testing and Assurance Securing Agents Securing Models
Testing and Assurance Securing Agents Securing Models
May 2025
Google Research
Google’s Approach for Secure AI Agents
An aspirational framework advocating for a hybrid, defense-in-depth strategy.
Securing Agents Securing Products Securing Infrastructure
Securing Agents Securing Products Securing Infrastructure
SAIF is Google’s Secure AI Framework, which offers guidance for building and deploying AI responsibly.
As AI technology rapidly advances and threats continually evolve, the challenge of protecting AI systems, applications, and users at scale requires that developers have a high-level understanding of AI-specific privacy and security risks in addition to established secure coding best practices.
Secure AI Framework
Explore AI development through a security lens
Navigate an evolving landscape to build AI securely and responsibly.
Focus on Agents
AI agent security
Address the unique security challenges of autonomous systems.
Tools
Understand AI security through 15 risks
Learn about risks inherent to AI development and the controls to help address them.
