Enterprise-ready, secure AI
Google Workspace with Gemini empowers teams to achieve more and helps keep data confidential, compliant, and secure.
What is generative AI privacy and security?
Generative AI has become an indispensable tool, integrated into daily life to enhance productivity, foster creativity, and provide convenience. Whether it’s planning a vacation, researching a topic, writing a marketing brief, or staying connected with a global team — can be a personal creative assistant to spark ideas and help get things done. To accomplish that, it may access various data sources, and not all tools offer the same AI safety and security controls. With its rapid adoption and growing importance, organizations are rightly concerned about potential data security and privacy risks. Evaluating generative AI’s infrastructure, data governance policies, and security controls to protect sensitive data is a must.
Keep business data confidential, secure, and compliant in Google Workspace with Gemini
Confidential
Your data is not reviewed by humans or used for outside your domain without permission.
Secure
Gemini is built with indirect prompt injection and comes with granular DLP to help protect sensitive content.
Compliant
Gemini has received security and privacy , including ISO 42001, BSI C5 and FedRAMP High, and can help meet HIPAA requirements.
Confidential
Your data is not reviewed by humans or used for outside your domain without permission.
Secure
Gemini is built with indirect prompt injection and comes with granular DLP to help protect sensitive content.
Compliant
Gemini has received security and privacy , including ISO 42001, BSI C5 and FedRAMP High, and can help meet HIPAA requirements.
How to minimize risks with generative AI tools
Protecting your data
Gemini integrates with existing data security measures in Workspace to help prevent unauthorized data access and exfiltration.
Understanding AI usage
Workspace provides comprehensive logging and exporting capabilities for Gemini activity.
Deploying AI with flexibility
Workspace offers granular controls to manage user access, allowing administrators to define who can leverage these powerful and robust AI capabilities.
Securing access points
Organizations can implement device-specific access policies to further secure Gemini usage.
Equifax securely provides Gemini to a global workforce, saving teams hours per day
Equifax, a leading credit bureau with a global footprint, launched Google Workspace with Gemini, boosting productivity across its organization.
Gemini in Google Workspace delivers sovereign AI
Customers can control where their data is stored and processed (EU or US). Customers can also limit data access to Google-support personnel in a specific region to retain sovereign control over their data.
Customer Testimonials
Gemini is in a really unique place in being able to securely access all of our documentation while maintaining the security posture we have built up over a decade of using Workspace. It's not something that we can easily replicate in any other tool.
Gemini is an enterprise-grade application that respects our data and infrastructure security while at the same time allowing us to safely experiment with new gen AI capabilities.
Gemini doesn’t change how we trust Workspace with our data. Gemini doesn’t train the model on our data, and features are enterprise-ready as soon as they are released, so our administrators have confidence they can deploy Gemini in a secure manner.
The security benefits of this really cannot be overstated. It’s critical to be purposeful and find solutions from a vendor that meets your needs without compromising your security. Gemini has the same security posture already built in that we have existing with Google Workspace.
Learn more about how to keep data secure and compliant in Google Workspace with Gemini
Learn how to deploy secure, enterprise-ready AI with confidence
Advanced AI with enterprise-grade security controls
Mitigating prompt injection attacks with a layered defense strategy
Learn how to deploy secure, enterprise-ready AI with confidence
Advanced AI with enterprise-grade security controls
Mitigating prompt injection attacks with a layered defense strategy
Frequently asked questions
While generative AI tools are enabling employees to reach new levels of productivity and creativity, it is critical to select a solution that prioritizes AI safety and security. Organizations also need to be intentional about their policies, including limiting the widespread use of “shadow” AI tools that may increase the risk of data loss.
By leveraging an integrated generative AI assistant that respects user access controls and provides granular management settings, administrators can help safeguard data and reduce the risk of data loss. Google Workspace with Gemini has a robust set of built-in threat defenses, data protections, and compliance , allowing organizations to get the most out of generative AI without making tradeoffs to their security posture.
With Workspace, files are securely stored and automatically versioned in a single place - Google Drive. This makes it easier for IT teams to protect business data and for Gemini to reference one single version of the document based on applied user permissions. Gemini can only retrieve data that the user has permissions to access, which minimizes additional overhead in terms of managing access and costs for separate tools with access to these data sources.
Security capabilities, such as AI classification, can help identify, manage, and protect data at scale by leveraging labels and data loss prevention (DLP) rules automatically. With content restrictions, such as Information Rights Management (disable downloading, copying, or printing) and client-side encryption, admins can also help restrict Gemini’s access to sensitive data. Take a closer look at available data security controls .
Using the capabilities of Google Cloud Data Boundary as a foundation, Gemini in Workspace apps offers authoritative sovereign controls for customer data. Customers can confine Gemini in Workspace data processing to the US or EU. For digital resilience and survivability, customers can also store an independent copy of their Gemini in Workspace apps data in any country of their choice using local data storage.
Furthermore, for their most critical data, customers can use client-side encryption, a unique technical control that provides end-to-end encryption and places the keys solely in the control of Workspace customers to help prevent all unauthorized access, even by Google, Gemini, and other generative AI assistants in an authoritative manner.
Google does not use customers’ Workspace data to train or improve the underlying generative AI and large language models (LLMs) that power Gemini, Search, and other systems outside of Workspace without permission. This has also been previously shared in a on how Google protects Workspace data and maintains these in the era of generative AI.
Google has taken a layered security approach introducing security measures designed for each stage of the prompt lifecycle. From Gemini 2.5 model hardening, to purpose-built machine learning (ML) models detecting malicious instructions, to system-level safeguards, we are meaningfully elevating the difficulty, expense, and complexity faced by an attacker. This approach compels adversaries to resort to methods that are either more easily identified or demand greater resources.
Our model training with adversarial data significantly enhanced our defenses against indirect prompt injection attacks in Gemini 2.5 models . This inherent model resilience is augmented with additional defenses that we built directly into Gemini. Learn more about these .
Google Workspace with Gemini is and comes with granular user access and data security controls, helping admins safely and securely deploy AI tools. Check out our step-by-step and for further details, find additional information in the , and get started with a no-cost .
