Gemini 3 on Wald: The Guide to Using Google’s Newest Model Securely

We are excited to announce that Gemini 3 is now live on Wald.

Starting today, all Wald users can access Google’s most advanced, reasoning-capable model directly within our secure chat interface. This update is included in your existing subscription, continuing our mission to aggregate the world’s best LLMs into a single, secure platform.

However, with great power comes great data risk. As organizations rush to adopt Gemini 3, the top question we hear is: “How can we use this securely?”

The Challenge: Using Gemini 3 Without Leaking Data

Gemini 3 offers groundbreaking capabilities in reasoning and coding. But for enterprises, using public AI models often presents a compliance deadlock.

• The Risk: Pasting sensitive customer data, financial figures, or proprietary code directly into public interfaces exposes your organization to data leaks and training usage.
• The Solution: You need a sanitization layer between your employees and the AI.

How to Use Gemini 3 Securely (The Wald Method)

If you are asking “How to use Gemini 3 securely,” the answer lies in input sanitization. You must ensure that sensitive data is sanitised  before the prompt leaves your controlled environment.

Here is how Wald solves this instantly:

1. The “Middleware” Approach Wald acts as a secure gateway. When you select “Gemini 3” from our model dropdown, you are not interacting directly with Google’s public interface. You are interacting with our secure environment.

2. Real-Time DLP & Redaction This is our core differentiator. Before your prompt reaches Gemini 3, wald’s Advanced DLP (Data Loss Prevention) layer scans the text in milliseconds.

• We Detect: Names, credit card numbers, SSNs, email addresses, and custom proprietary terms.
• We Protect: We redact or anonymize this data instantly.
• The Result: Gemini 3 receives a “clean” prompt. It understands the context and provides a brilliant answer, but it never sees the sensitive entities.

3. Zero-Training Guarantee By using Wald, you ensure that your enterprise data is strictly isolated. We manage the connection to ensure no data is used to train future model iterations.

Why Switch to Wald for Gemini 3?

Beyond security, we solve the fragmentation problem.

• All Models, One Subscription: Stop buying separate licenses for ChatGPT, Claude, and Gemini. wald aggregates them all. You can switch from GPT-4 to Gemini 3 with a single click to compare results.
• Unified Billing: One vendor to vet, one invoice to pay.
• Enterprise Controls: Manage who in your team has access to Gemini 3 and audit exactly how it is being used.