Govern Google Gemini Across Every Touchpoint

Q: "Can Raidu govern Gemini usage inside Google Workspace?"

"Raidu governs Gemini interactions that are routed through API endpoints your organization controls. For Gemini in Workspace, Raidu integrates at the API layer to enforce policies on AI interactions. This ensures that sensitive data in Docs, Sheets, and Gmail is protected when Gemini accesses it through governed channels."

Q: "How does Raidu handle Gemini's multimodal capabilities?"

"Raidu's governance layer applies policy enforcement and audit logging to all Gemini API requests. For text based inputs, Raidu provides 99.2% accurate PII detection and redaction across 60+ entity types. All interactions, regardless of modality, are logged with cryptographic signatures for compliance proof."

Q: "Does Raidu work with Vertex AI custom model deployments?"

"Yes. Raidu integrates with Vertex AI at the API level. Whether your teams are using Gemini Pro, Gemini Ultra, or fine tuned models deployed on Vertex AI, Raidu enforces the same governance policies. Custom applications built on Vertex AI get centralized policy enforcement without requiring changes to application code."

Q: "Can Raidu help with data residency requirements for Gemini usage?"

"Raidu logs the governance decisions and policy enforcement actions for every interaction with full metadata. This gives your compliance team verifiable records showing what data was processed, what policies were applied, and when. Combined with Vertex AI's regional deployment options, Raidu provides the proof layer that regulators require."

Gemini is embedded in Google Workspace, Vertex AI, and standalone applications. Raidu provides a single governance layer that enforces your policies across all of them, with cryptographic proof of every decision.

Read Our Research

Google Gemini

Google's multimodal AI platform

Google Gemini is a family of multimodal AI models integrated across Google Cloud, Workspace, and developer tools. Enterprises use Gemini for search, analysis, content creation, and cloud development.

The Governance Risks

AI adoption without governance creates risk.

Multimodal Data Creates New Governance Blind Spots

Gemini processes text, images, video, and code. Traditional data loss prevention tools were built for text only. When employees upload screenshots of internal dashboards, photos of whiteboards, or video recordings to Gemini, most governance tools simply do not see the risk.

Google Workspace Integration Expands the Attack Surface

Gemini is woven into Gmail, Docs, Sheets, and Meet. Every time an employee uses Gemini in Workspace, it can access the contents of their documents and emails. Without governance controls, sensitive data from across your Google environment flows into AI interactions with no oversight.

Vertex AI API Usage Lacks Consistent Policy Enforcement

Development teams using Gemini through Vertex AI often build custom applications that process customer data. Each application may handle governance differently, or not at all. Without a centralized enforcement layer, you end up with inconsistent policies and gaps that auditors will question.

Data Residency Concerns Across Google's Global Infrastructure

Google operates data centers worldwide, and Gemini requests may be processed in different regions depending on load and configuration. For organizations subject to GDPR, data sovereignty laws, or industry specific residency requirements, proving where your AI data was processed is a regulatory necessity.

How Raidu Solves This

Purpose-built AI governance that works with your existing tools.

Unified Governance Across Gemini's Entire Ecosystem

Raidu intercepts Gemini interactions whether they originate from Vertex AI APIs, Workspace integrations, or the standalone Gemini app. One governance layer, one set of policies, one audit trail. Your security posture is consistent across every way your organization uses Gemini.

PII and Sensitive Data Protection for All Input Types

Raidu's AI Firewall detects sensitive data in text inputs with 99.2% accuracy across 60+ entity types before they reach Google's infrastructure. For text based Gemini interactions, patient records, financial data, and proprietary information are automatically redacted while preserving the usefulness of the prompt.

Cryptographic Compliance Records for Regulated Industries

Every Gemini interaction governed by Raidu produces a tamper proof audit record signed with RSA-4096 and chained with SHA-256 hashes. Healthcare organizations proving HIPAA compliance, EU enterprises demonstrating AI Act adherence, and financial institutions satisfying SR 11-7 all get the verifiable evidence regulators require.

Centralized Policy Management for Vertex AI Deployments

Raidu provides a single control plane for all Gemini API calls made through Vertex AI. Development teams build their applications freely while Raidu enforces consistent governance policies across every deployment. No more per application policy management.

SOC 2 Type II (pursuing)

Typically <50ms Added Latency

On-Premise Available

Input + Output Protection

Frequently Asked Questions

Can Raidu govern Gemini usage inside Google Workspace?

Raidu governs Gemini interactions that are routed through API endpoints your organization controls. For Gemini in Workspace, Raidu integrates at the API layer to enforce policies on AI interactions. This ensures that sensitive data in Docs, Sheets, and Gmail is protected when Gemini accesses it through governed channels.

How does Raidu handle Gemini's multimodal capabilities?

Raidu's governance layer applies policy enforcement and audit logging to all Gemini API requests. For text based inputs, Raidu provides 99.2% accurate PII detection and redaction across 60+ entity types. All interactions, regardless of modality, are logged with cryptographic signatures for compliance proof.

Does Raidu work with Vertex AI custom model deployments?

Yes. Raidu integrates with Vertex AI at the API level. Whether your teams are using Gemini Pro, Gemini Ultra, or fine tuned models deployed on Vertex AI, Raidu enforces the same governance policies. Custom applications built on Vertex AI get centralized policy enforcement without requiring changes to application code.

Can Raidu help with data residency requirements for Gemini usage?

Raidu logs the governance decisions and policy enforcement actions for every interaction with full metadata. This gives your compliance team verifiable records showing what data was processed, what policies were applied, and when. Combined with Vertex AI's regional deployment options, Raidu provides the proof layer that regulators require.

Govern Google Gemini with Full Accountability

Enforce consistent policies across every Gemini touchpoint and prove compliance with cryptographic evidence.

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