Google Gemini + Areebi

Areebi enables organisations to connect directly to Google's Gemini API at ai.google.dev with full enterprise governance applied to every interaction. Unlike the Google Vertex AI integration - which is designed for teams operating within GCP's enterprise infrastructure - the Gemini integration targets developers and teams using Google's standalone AI API. This distinction matters: Gemini API keys are issued independently of GCP projects, billing flows through Google AI Studio rather than GCP billing, and the authentication model is a simple API key rather than service account credentials. Areebi governs both paths, but the policies and cost tracking are tailored to each.

The integration covers the full Gemini model family. Gemini Pro handles complex reasoning tasks, Gemini Flash provides cost-efficient inference for high-throughput workloads, and Gemini Ultra delivers maximum capability for the most demanding use cases. All three tiers support multimodal inputs - text, images, audio, and video - and Areebi's DLP engine inspects text prompts in real time while logging multimodal submissions for policy review. Grounding with Google Search, a feature that lets Gemini cite real-world sources, is tracked by Areebi so compliance teams can audit which external data influenced model responses.

For teams prototyping in Google AI Studio and scaling to production, Areebi provides a seamless governance transition. Developers can experiment freely in sandboxed workspaces with relaxed DLP rules, then deploy to production workspaces where strict data protection and audit logging are enforced. The policy builder lets administrators manage both environments from a single console, and API keys are stored centrally - never embedded in application code or shared across teams.

Governing Gemini through Areebi addresses a gap that Google's native tooling does not fill: organisation-level controls over who uses which models, what data enters the API, and how usage is tracked. The DLP engine runs over 50 built-in detectors on every text prompt, catching PII such as national identifiers, financial account numbers, and medical terminology before the request leaves your network. For multimodal inputs, Areebi logs image and audio submissions with metadata, and Enterprise plan customers receive image-based content classification that flags screenshots containing sensitive data like spreadsheets, ID documents, or medical imagery.

Audit logging for Gemini captures the complete interaction context: user identity, workspace, model version (Pro, Flash, or Ultra), token consumption, grounding sources cited, and the full prompt/response pair or a redacted version depending on your retention policy. These logs feed into your existing SIEM or compliance platform via export, giving security teams a unified view of Gemini usage alongside other AI providers governed by Areebi. For organisations pursuing SOC 2 certification, the immutable audit trail satisfies the evidence requirements for AI usage monitoring controls.

Google's Gemini API operates under Google's standard AI data usage policies, which differ from the enterprise commitments available through Vertex AI. Organisations in regulated industries should note that Gemini API inputs may be used to improve Google's models unless enterprise terms are in place. Areebi mitigates this risk at the governance layer: sensitive data is redacted before reaching the API, so even if Google's data practices change, your organisation's PII, PHI, and proprietary information are protected. For HIPAA-regulated entities, this pre-transmission masking is essential because the standard Gemini API is not covered by a Google BAA.

Cost governance is another compliance consideration unique to the Gemini API. Without centralised controls, API key proliferation can lead to unpredictable spend. Areebi's rate limiting and token budgets prevent cost overruns, and per-user attribution makes it possible to allocate AI spend to departments for accurate financial reporting. The trust centre documents all security controls applied to Gemini traffic, and organisations can request a demo to see how governance policies map to their specific compliance framework. Review pricing plans to find the tier that matches your Gemini usage volume.