AI Governance & Audit Control your auditors can verify.
Put policy, approvals, and audit evidence in one control layer before clients, auditors, or regulators ask for proof.
Shield Control defines how your organisation uses AI responsibly, with enforceable policies, approvals, and audit evidence across employees, workflows, and model providers.
No audit trail. DLP doesn't cover prompts.
Employees are sending client data, PII, and proprietary content to AI models every day. When a DPO, an auditor, or a cyber insurer asks what Shield Control controls you have in place, most organizations cannot produce documentation. Written policies are not enforcement.
- No centralized log of which AI tools employees are using and what data they're sending
- DLP catches files and URLs — not the semantic content of AI prompts
- No approval workflow for high-risk AI actions involving client or sensitive data
Full request log, redacted-body retention, DPO-ready reports.
Qadar enforces policy across every AI model and tool your team uses — not just the ones IT approved. Every request is logged with a structured schema. Redacted-body logging keeps you GDPR-compliant without losing auditability.
- Policy enforcement across every AI model and tool — approved and unapproved
- Full audit log: who sent what, to which model, what policy ran, what decision was made
- GDPR-ready defaults — redacted-body logging, no raw prompts stored, EU data residency option
Qadar Shield Control capabilities
Policy engine across all AI tools
Define and enforce acceptable-use policy across every AI model and tool your team uses — ChatGPT, Claude, Copilot, and internal deployments. One rule set, consistently applied.
GDPR-ready redacted-body logging
Log AI requests without storing raw prompt bodies. Redacted summaries provide auditability without processing personal data unnecessarily — your DPO can defend it.
Approval gate for high-risk AI actions
Require human sign-off before AI sends or processes client data, financial content, legal drafts, or PII. Approval decisions are logged alongside the request.
Structured audit trail
Every AI request logged with consistent schema: user identity, model, data category, policy outcome, and timestamp. Queryable, exportable, SIEM-compatible.
EU data residency (Enterprise)
Keep AI activity data in EU infrastructure. No cross-border transfer of request metadata or logs. Designed for German DPOs and Works Council requirements.
SOC 2 controls documentation
US enterprise: Qadar generates the Shield Control policy and audit trail documentation your SOC 2 auditors and cyber insurers need to see. Ready to present, not to be built from scratch.
Common questions about Shield Control
What is Shield Control?
Shield Control combines policy rules, enforcement, and audit operations to govern AI use across an organization. It defines approved tools, data handling boundaries, approval paths for high-risk actions, and complete activity logs. The key difference is enforcement at the system layer, not policy docs alone.
What does GDPR compliance for AI tools look like in practice?
Under GDPR, organizations must be able to demonstrate what personal data is processed, by whom, and under what lawful basis — including data sent to AI models. In practice, this means having a log of AI requests that identifies the user and the data category involved, storing only what is necessary, and having a documented policy your DPO can defend. Qadar's redacted-body logging and EU data residency controls are built specifically for this requirement.
How do you audit AI use across an organization?
Through a centralized gateway that logs every AI request with a consistent schema: user identity, timestamp, model provider, input summary (not raw body by default), output summary, and policy outcome. Qadar produces this log as a queryable audit trail, with webhook and SIEM export for security operations teams.
Can Qadar generate the audit report my DPO is asking for?
Yes. The Qadar audit log is structured specifically to support DPO review: every request includes the user identity, model provider, data category classification, policy outcome, and timestamp. Your DPO can query the log directly or receive a periodic export in the format required for GDPR Article 30 records of processing activities.
Is Qadar compatible with the EU AI Act requirements?
Qadar's governance layer is designed to support the organizational controls the EU AI Act requires for high-risk AI system deployments — including use-case documentation, human oversight mechanisms, incident logging, and data governance controls. Specific compliance documentation is available on the Enterprise tier for organizations subject to EU AI Act obligations.