Product

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.

Central policy and audit illustration with lifecycle and signal flow cues.

What it enables

  • Author, version, sign, and distribute policy from a single control plane to all connected enforcement surfaces
  • Capture metadata-only audit signals — policy violation category and timestamp — without retaining prompt content or user identifiers by default
  • Maintain one governance baseline from first evaluation teams through enterprise-wide expansion

Best for

  • Security and compliance teams who need one source of truth for policy before AI adoption scales
  • Organizations where audit evidence must be review-ready without surveillance-grade data collection

How It Works

Four steps to secure AI adoption.

01

Define policy baseline

Version and approve policy in one control plane.

02

Distribute consistently

Publish the same policy across connected enforcement surfaces.

03

Evaluate and enforce

Apply allow, warn, redact, or block at interaction time.

04

Audit metadata-only signals

Capture review-ready governance events without storing prompt content by default.

Policy Foundation

One source of truth for AI governance policy.

Author, version, and distribute policy before enforcement scales.

Before any enforcement surface goes live, security and compliance teams need a single place to define what's allowed, what triggers a warning, and what gets blocked. Central Policy Manager is that place — one control plane for the full policy lifecycle.

Policies are versioned, signed, and distributed to connected enforcement surfaces. When policy changes, every gateway, browser, and extension picks up the update without manual reconfiguration.

Single policy lifecycle

Author, review, version, sign, and distribute policy from one control plane — no fragmented definitions across teams.

Signed distribution

Distribute policies with cryptographic signing so enforcement surfaces can verify authenticity and version integrity.

Rollback-safe versioning

Roll back to any previous policy version if a new baseline causes unexpected enforcement behavior.

Audit Operations

Governance evidence without surveillance-grade data.

Metadata-only audit signals. No prompt content. No per-user profiling.

Central Audit Server captures governance events — policy violation category, enforcement outcome, timestamp — without storing raw prompt content or building per-user behavioral timelines by default. The result is review-ready evidence that satisfies security, compliance, and works council requirements.

Metadata-only by default

Audit signals capture violation category and timestamp — no prompt content, no user identifiers, no behavioral profiles stored by default.

Review-ready evidence

Produce governance records that satisfy compliance reviews, internal audit, and works council requirements without surveillance-grade data.

Consistent baseline at scale

Maintain one governance foundation from evaluation teams through enterprise-wide deployment across all enforcement surfaces.

Next steps

All products

AI 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.

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Secure AI Browser

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.

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Browser 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.

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Start today

Move from policy intent to enforceable AI interaction control.

Start with a technical brief or a structured evaluation. Deploy controls without blocking productive AI usage.