Explore tools that can help you secure AI models, applications, data, and infrastructure throughout the AI life cycle.
Safeguard AI workloads
AI Protection helps teams comprehensively manage AI risk by:
- Discovering AI inventory and assessing it for potential vulnerabilities
- Securing AI assets with controls, policies, and guardrails
- Managing threats against AI systems
Protect gen AI applications
Model Armor guards against prompt injection, jailbreak, data loss, malicious URLs, and offensive content by screening gen AI prompts and responses. It provides multi-model, multi-cloud support for generative AI applications. Model Armor is included in AI Protection but can also be used by developer teams separately.
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.
With AI Protection in Security Command Center, security teams can get a centralized view of their AI posture and manage AI risks holistically in context with their other cloud workloads. Security Command Center features such as virtual red teaming are used for AI workloads as part of AI Protection.
AI Protection
Safeguard AI workloads
AI Protection helps teams comprehensively manage AI risk by:
- Discovering AI inventory and assessing it for potential vulnerabilities
- Securing AI assets with controls, policies, and guardrails
- Managing threats against AI systems
Model Armor
Protect gen AI applications
Model Armor guards against prompt injection, jailbreak, data loss, malicious URLs, and offensive content by screening gen AI prompts and responses. It provides multi-model, multi-cloud support for generative AI applications. Model Armor is included in AI Protection but can also be used by developer teams separately.
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
With AI Protection in Security Command Center, security teams can get a centralized view of their AI posture and manage AI risks holistically in context with their other cloud workloads. Security Command Center features such as virtual red teaming are used for AI workloads as part of AI Protection.
Secure AI Framework (SAIF)
Take a practical approach to addressing AI security challenges with a conceptual framework for secure AI systems.
Practitioner resources
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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