Organizations everywhere are racing to unlock the power of AI on Google Cloud, but with this innovation comes new risks: shadow AI usage, sensitive data moving into AI systems, and compliance gaps that traditional security tools can’t fully address.
Netskope helps organizations accelerate AI adoption on Google Cloud by delivering deep visibility, granular controls, and advanced data protection, enabling organizations to embrace AI innovation confidently and securely.
Gain deep visibility into AI interactions
AI adoption requires more than knowing that employees are “using AI.” Enterprises need to understand which AI services are in play, who is using them, and how data flows across their organization.
With Netskope, organizations gain deep insight into AI usage across Google Cloud, including:
- Differentiating between traffic going to corporate vs. personal instances
- Monitoring usage patterns across managed and unmanaged AI services
- Identifying sensitive data that may be used to train AI models
AI models themselves can become targets, whether through poisoned training data or unauthorized use of sensitive datasets. Netskope One Data Security Posture Management (DSPM) provides continuous monitoring of data across Google Cloud to ensure it isn’t improperly exposed or misused in AI training.
This visibility is the foundation for informed policy and governance decisions.
Enforce granular control over AI actions
Netskope's Zero Trust Engine provides comprehensive context for AI interactions, including user risk, location, and instance specifics. This enables organizations to create granular policies that align with their risk tolerance. For example, you can allow third-party contractors to view AI model training datasets without granting them modification or deletion rights.
Additionally, if Google Gemini is your organization's designated AI tool, you can implement coach and pivot policies to display a pop-up message to users accessing other genAI applications, redirecting them to Gemini.
Preventing data loss for privately built AI applications
When leveraging Vertex AI models for your AI applications, it's crucial to continuously monitor prompt requests and model responses for sensitive information. Netskope One DLP On Demand can be directly integrated into your AI workflows, offering end-to-end data protection. This capability enables real-time, in-environment scanning to prevent the inadvertent exposure of sensitive data, such as PII and intellectual property, within AI prompts, responses, and training data. This is achieved by deploying a virtual machine within your Google Cloud Platform (GCP) environment, facilitating local data scanning without data ever leaving your tenant.
This integration establishes a unified, policy-driven framework for securing data across AI models, cloud applications, and web interactions. By applying consistent security policies across all your data, Netskope and Google can help empower you to accelerate AI projects, simplify operations, and meet compliance mandates like GDPR, HIPAA, and PCI DSS.
AI on Google Cloud offers tremendous opportunities for innovation, but without the right security, it can put sensitive data, models, and compliance efforts at risk. Netskope helps enterprises secure every stage of their AI journey on Google Cloud.
