Secure your Agentic and Generative AI with Google Cloud
We combine human expertise with cutting-edge technology to help organizations secure their AI. Confidently build, deploy, run, and govern your AI workloads in a secure, compliant, and private manner.
Explore products and solutions that help you secure the entire AI stack from your data to AI models and agents throughout the entire AI life cycle from training, to development, to runtime in production.
Gain visibility, secure AI assets, and mitigate threats
AI Protection secures the AI stack and manages risks throughout the AI life cycle by:
- Discovering AI assets including agents, models, applications, infrastructure, and data while assessing risks
- Securing AI assets with controls, policies, and guardrails
- Managing threats against AI and Agentic systems
Safeguard AI model prompts, responses, and agent interactions
Model Armor guards against prompt injection, jailbreak, data loss, malicious URLs, and offensive content by screening model prompts and responses, and AI agent interactions. It protects any-model running anywhere to secure generative AI and AI agents with API and inline integrations.
Automate AI data discovery
Understanding what data supports AI applications and how it’s protected is paramount. Sensitive Data Protection automates data discovery to help you understand what training and tuning data is in your Vertex AI datasets.
Security Command Center (SCC) is our flagship product for securing Google Cloud. AI Protection, Model Armor, and Sensitive Data Protection are included in SCC. Get a centralized view of your AI posture and manage AI risks and threats holistically in context with your other cloud workloads.
AI Protection
Gain visibility, secure AI assets, and mitigate threats
AI Protection secures the AI stack and manages risks throughout the AI life cycle by:
- Discovering AI assets including agents, models, applications, infrastructure, and data while assessing risks
- Securing AI assets with controls, policies, and guardrails
- Managing threats against AI and Agentic systems
Model Armor
Safeguard AI model prompts, responses, and agent interactions
Model Armor guards against prompt injection, jailbreak, data loss, malicious URLs, and offensive content by screening model prompts and responses, and AI agent interactions. It protects any-model running anywhere to secure generative AI and AI agents with API and inline integrations.
Sensitive Data Protection
Automate AI data discovery
Understanding what data supports AI applications and how it’s protected is paramount. Sensitive Data Protection automates data discovery to help you understand what training and tuning data is in your Vertex AI datasets.
Security Command Center
Security Command Center (SCC) is our flagship product for securing Google Cloud. AI Protection, Model Armor, and Sensitive Data Protection are included in SCC. Get a centralized view of your AI posture and manage AI risks and threats holistically in context with your other cloud workloads.
Practitioner resources
Whitepaper
Securely deploying AI on Google CloudBuilding a secure foundation to protect AI workloads in Google CloudRead whitepaper
Guided lab
Sanitize prompts and responses with Model ArmorTake the Google Cloud Skills Boost Model Armor courseTake lab
Documentation
Getting started with Model ArmorKey concepts and documentationRead documentation
Executive resources
Executive summary
Guidance for how to address AI riskPerspectives for boards of directorsGet executive summary
Blog
AI security mistakes to avoidOCISO identifies five common mistakes and solutionsRead blog
Analyst webinar
How to build safe and secure AIAn in-depth discussion between our OCISO and Forrester on securing AIWatch webinar
Secure AI Framework (SAIF)
Take a practical approach to addressing AI security challenges with a conceptual framework for secure AI systems.
Google's Secure AI Framework (SAIF)Navigate the evolving landscape of AI securityLearn more
SAIF risk self-assessmentLearn about which risks inherent to AI development may affect youTake assessment
SAIF in the real worldKey considerations in applying the SAIF through the AI development life cycleRead whitepaper
Mandiant AI Security Consulting Services
A comprehensive, life cycle focused approach allows organizations to effectively mitigate the multi-faceted risks surfaced by generative AI, as well as manage increasingly expanding security workloads. By taking a holistic approach to AI protection, Google Cloud simplifies and thus improves the experience of securing AI for customers.
Dr. Grace Trinidad, Research Director, IDC
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