
product
Turn AI policies into enforceable rules, approval flows, and audit-ready evidence.
AI Governance
Most AI governance lives in PDF documents nobody reads. Qadar AI enforces policies at runtime — approval gates, data classification, and audit trails at every AI interaction.
The gap
A Shield-Web-style walkthrough that shows the challenge first, then the control path Qadar AI applies in production.
You have AI usage policies. You may even have team guidelines. But when your DPO, external auditor, or cyber insurer asks for evidence of enforcement, you have nothing structured to show. Policy without runtime enforcement is not governance — it is aspiration.
Signal detected
The governance gap
Risk context
You have AI usage policies. You may even have team guidelines. But when your DPO, external auditor, or cyber insurer asks for evidence of enforcement, you have nothing structured to show. Policy without runtime enforcement is not governance — it is aspiration.
Qadar AI turns AI governance from a document into a runtime system. Every AI interaction passes through policy checks, approval gates where required, and structured audit logging. Shield Control is the single console where policy is defined, enforced, and evidenced across all surfaces.
Policy decision
Enforce, approve, and audit from one control plane
Governed action
Qadar AI turns AI governance from a document into a runtime system. Every AI interaction passes through policy checks, approval gates where required, and structured audit logging. Shield Control is the single console where policy is defined, enforced, and evidenced across all surfaces.
Capabilities
Define AI governance policies once and enforce across browser, desktop, mobile, and gateway surfaces. Version history, staged rollout, and approval gates are built in.
Every AI interaction produces a structured audit entry with policy outcome, classification decision, timestamp, and user context. Evidence is always current and exportable.
High-risk AI actions trigger human-in-the-loop approval gates. Designated approvers review requests before they reach the model, with full decision logging.
Generate governance reports that satisfy DPO review, external audit, and compliance reporting requirements. Reports are structured, current, and available on demand.
Processing and audit storage can be scoped to EU-region infrastructure. Data residency is a first-class governance control, not an afterthought.
Produce the structured evidence that GDPR, EU AI Act, SOC 2, and sector-specific frameworks require. Governance evidence is generated automatically as a byproduct of runtime enforcement.
FAQ
Questions teams ask about AI governance
FAQ
AI policy is a document that describes rules. AI governance is the system that enforces those rules at runtime and produces evidence of enforcement. Qadar AI turns policy documents into runtime governance with policy checks, approval gates, and structured audit trails.
Qadar AI provides data residency controls, redacted-body logging, and structured audit trails that support GDPR compliance requirements. Processing can be scoped to EU-region infrastructure, and audit evidence is structured for DPO review.
Yes. Qadar AI supports staged rollout. Start with policy enforcement for one team or workflow, then expand coverage across the organization. Policy baselines, user onboarding, and reporting scale with your deployment.

product
Turn AI policies into enforceable rules, approval flows, and audit-ready evidence.

product
Apply governance where browser prompts and uploads leave the company.

guide
Learn how to structure AI governance around controls, reporting, and rollout.
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