Product
Give AI work a dedicated, policy-controlled browser — separate from everyday sessions. Users interact with web AI tools in an approved environment where prompt-time enforcement, session isolation, and data boundary controls are active by default.
How It Works
AI work begins in a dedicated, policy-governed session isolated from everyday browsing.
The browser receives the current signed policy baseline on session start.
Each submission is evaluated against policy — warn, redact, or block before content reaches the model.
A metadata-only audit event is recorded for compliance and security review.
Controlled Browser Path
Separate AI browsing from everyday sessions with policy enforcement active at the point of interaction.
When AI tools run in the same browser as everything else, controlling what enters a prompt becomes harder — clipboard history, open tabs, and autofill all create leakage vectors. Secure AI Browser isolates AI work in a dedicated session where policy governs every interaction.
IT teams can deploy and manage the browser like any enterprise application. Policy is distributed from the central control plane, enforcement runs locally, and no prompt content is routed through external inspection infrastructure.
Run AI web activity in a dedicated browser environment, physically separated from everyday browsing context and clipboard state.
Evaluate and enforce policy at the moment users submit prompts — warn, redact, or block before content reaches the AI model.
Distribute and update the browser through standard enterprise tooling — MDM, group policy, or managed installer.
Session Boundaries
Users work inside a defined boundary. Policy decides what can be submitted.
Session isolation means AI interactions happen in a context IT controls — with consistent policy, visible enforcement, and audit signals that flow to the same governance pipeline as other products.
Eliminate accidental data exposure from clipboard, tabs, and autofill by isolating AI work in a separate session.
Apply the same centrally distributed policy as gateway and extension enforcement surfaces.
Capture metadata-only governance events without storing prompt content or building per-user behavioral profiles.
Central Policy Manager + Central Audit Server
The governance foundation every enforcement product depends on. Author, version, and sign policies in one control plane, distribute them to gateway and browser surfaces, and capture metadata-only audit signals — no prompt content retained, no per-user profiling by default.
Explore productBrowser Extensions
Deploy prompt-time guardrails directly inside the AI web interfaces your teams already use. Browser Extensions add pre-submission enforcement — warn, redact, or block — at the endpoint, with no infrastructure changes and no new tools for users to learn.
Explore productAI Gateway
Route AI requests from apps, IDEs, and API clients through a single policy checkpoint — deployed on-premise or in your VPC. Evaluate prompts before they reach external models, enforce data protection policy, and control model routing, fallback, and inference costs from one operational layer.
Explore product