Qadar AI Shield Pricing

AI governance pricing designed around outcomes, not seat counts.

Qadar scopes coverage to your actual AI workflows, then provides a commercial proposal aligned to the governance depth you need. No per-user spreadsheets. No generic tiers.

EU data residency available
Dedicated implementation support
No spreadsheet required to get started

Pay for governance outcomes, not dashboard access.

Qadar combines policy controls, runtime enforcement, and audit-ready logs in one layer — lower compliance exposure, faster board-ready reporting, and fewer engineering detours when teams scale AI usage.

One suite
Policy, audit, and enforcement across web, desktop, mobile, and governance in one control plane.
Scoped entry
Start with one workflow. Expand coverage as AI usage grows across the organisation.
Quote-led
Every proposal is mapped to your governance requirements — not a generic price list.

Start with one workflow, then scale across the company.

Every tier is scoped after technical discovery. No public prices — every proposal is built around your governance requirements.

Shield Starter
Fast entry for controlled AI usage
Designed for teams getting started
  • Shield Web controls
  • Shield Control Basic — one admin console
  • Standard policies: warn or block
  • Approved AI-app controls and basic audit logs
Shield Enterprise
Governance architecture for enterprise scale
Designed for complex governance requirements
  • Shield Control Advanced with Control Gateway
  • API, Agent, and MCP governance
  • SIEM / SOAR / ITSM / GRC integrations
  • Data residency, DLP packs, and forensic logs

We do not publish numeric pricing publicly. Every tier is scoped after technical discovery and governance review. See FAQ ↓

Add-on for Enterprise

Built for regulated environments

Finance, healthcare, legal, pharma, defense, and consulting teams add industry-grade controls to their Enterprise deployment. Shield Regulated is not a separate product — it is Enterprise, hardened for regulatory requirements.

  • Industry-specific classifiers and policy packs
  • Stricter audit exports and retention controls
  • Expanded jurisdiction and residency options
  • BYOD vs corporate-owned separation
  • Enforcement: "no private AI for regulated data"

Need regulated-environment controls?

Discuss regulated requirements

We scope industry controls during Enterprise discovery — no separate sales process.

See exactly what each tier covers.

Feature Starter Business Enterprise
Discovery & Visibility
Shadow AI discovery
AI app inventory & usage reporting Basic
Cross-surface usage analytics
Policy & Enforcement
Prompt warn, justify, block actions
Group-based and role-based policies
API, Agent & MCP governance
DLP packs and exception workflows
Surfaces
Shield Web (browser)
Shield Desktop (macOS / Windows)
Shield Mobile (iOS / Android)
Shield Control Gateway
Governance & Audit
Structured audit logs
SSO / SCIM provisioning
SIEM / SOAR / ITSM / GRC integrations
Data residency controls
Forensic log depth
Support
Guided onboarding
Dedicated implementation lead
SLA-backed response times

Not sure which plan fits? Start scoping and we will map your AI workflows to the right coverage level.

Controls that security, engineering, and compliance can all defend.

Policy controls

Central policies for prompt handling, tool access, and sensitive data pathways.

Structured audit logs

Structured request logging with policy outcomes and timestamps for forensic clarity.

Integrations

Connects to your existing security and operations stack at Enterprise tier.

Support model

Dedicated onboarding with structured technical checkpoints for security and engineering leads.

Approval workflows

Human-in-the-loop gates for high-risk actions without blocking low-risk operations.

Deployment governance

Safe staging and promotion controls so policy changes never surprise production users.

Governance that earns trust across the org.

Security-first by design

Policy controls and enforcement run before data reaches the model. No retroactive inspection.

Fast time to governance

Initial rollout covers policy baselines, reporting, and user onboarding — scoped to your deployment timeline.

Manager-friendly operations

Designed so IT leads and department heads — not just CISOs — can run and audit AI governance.

EU data residency available

Enterprise and Regulated plans support jurisdiction-specific residency aligned to GDPR and sector requirements.

Questions teams ask before selecting a plan

Where is my data stored?

By default, Qadar keeps request metadata and policy outcomes while avoiding raw prompt retention for sensitive traffic. Enterprise plans support EU data residency and controlled retention windows aligned to your compliance policy.

Is there a free trial?

Qadar does not run an open self-serve trial. We scope implementation around your workflows and governance requirements, then provide a proposal mapped to Starter, Business, Enterprise, or Regulated coverage.

How long does deployment take?

Deployment timelines are scoped during technical discovery. Initial rollout typically covers policy baselines, reporting access, and user onboarding — the pace is set by your team's governance requirements and rollout scope.

Do you offer annual contracts?

Yes. Business, Enterprise, and Regulated plans support annual agreements, with scope and support commitments defined up front in the commercial proposal.

What happens as usage grows?

We notify your team when your deployment scope is expanding and work with you to move to the next plan band or a custom volume package based on your governance requirements.

Ready to scope your deployment?

Book a scoping call and get a deployment plan in one session.

We map your critical AI workflows, define policy boundaries, and outline a deployment plan — scoped to your team's governance requirements before any contract is signed.

Scope your deployment in one session. No spreadsheet required.

Every request is reviewed against your AI surface, control gaps, and rollout goals before the first call.

  • Scoped to your stack, workflows, and risk posture
  • Pilot-first rollout — no platform rip-and-replace required
  • Response from the Qadar team within 48 hours

Requests are reviewed by the Qadar team — response within 48 hours.