Shield Web
Browser extension controls for prompt inspection, upload checks, and shadow AI discovery in web AI apps.
Explore Shield Web → AI Runtime Governance
AI Security, Control
& Governance Platform
Qadar is the AI security and control layer that gives every company real visibility into AI activity, policy enforcement across every model, and an audit trail that holds up — without blocking the tools your team relies on.
Policy enforcement at the API layer
Tamper-evident audit trail
No raw prompts stored by default
Designed for global teams under real audit pressure
Works with 
Qadar AI Shield Suite
One platform. Four Shield products. Full AI surface coverage.
Qadar AI Shield connects browser, desktop, mobile, and central governance so policy follows AI usage everywhere your teams work.
Shield Desktop
macOS and Windows endpoint controls for desktop AI usage, clipboard policy, file protection, and app-to-domain rules.
Explore Shield Desktop →Shield Mobile
Secure iOS and Android workspaces for managed mobile AI access with copy/share/open-in controls and identity separation.
Explore Shield Mobile →Shield Control
Central policy, audit, discovery, approvals, and reporting across the full Qadar AI Shield deployment.
Explore Shield Control → The Problem
Shadow AI isn't a future risk. It's already inside your company.
Employees are using ChatGPT, Copilot, and Claude with company data today. No approval process. No audit trail. Nobody owns the problem yet — until a client asks about your AI data handling policy, an auditor shows up, or an incident happens.
Your DLP and SIEM weren't built for AI prompts. They catch files and URLs. They don't see what goes into a model or what comes back out. The question isn't whether to allow AI. It's whether you control it.
See how Qadar fixes this → 93% of knowledge workers use unapproved AI tools according to enterprise security research
75% admit to sharing sensitive company data into AI tools without any controls in place
7% of annual revenue represents the potential regulatory exposure under the EU AI Act for non-compliant deployments
Source basis: Cisco 2024 AI Privacy Benchmark, IBM Cost of Data Breach Report, EU AI Act enforcement framework.
Built for leaders who run the business
Your team is already using AI. Now you need to see it, control it, and prove it's safe.
Qadar gives operations leaders, security teams, and compliance officers one control layer for AI governance, starting with the people who own rollout and risk.
Operations & Business Leaders
"I need to know what AI my team is using and prove we're in control."
See every AI tool. Roll out safely. Stay audit-ready.
Qadar gives operations leaders instant visibility into every AI tool and agent in use. Enable adoption without shadow AI sprawl, apply guardrails that actually run, and deliver the evidence your board and regulators ask for.
- Real-time inventory of every AI tool and workflow
- Acceptable-use policy enforcement without rollout delays
- Board-ready AI governance and audit evidence
Security Leaders
"I need DLP coverage for AI — and a kill switch I can actually use."
See every AI request. Set a policy that actually runs.
Qadar gives you a real-time view of every AI tool your team uses and every request they make — across every model. Set an acceptable-use policy. Enforce it at the gateway, not in a shared doc.
- Full audit trail, every request logged
- Agent kill switch without an engineering ticket
- Board-ready reporting and SIEM export
AI & Engineering Teams
"I need guardrails that don't block my team or touch my code."
Autonomous agents need autonomous controls.
Qadar intercepts every tool call an AI agent makes and applies your policy before the action completes. Approve, deny, or require human sign-off — without changing how your engineering team builds.
- Runtime policy, no SDK changes required
- Canonical trace IDs on every LLM call
- YAML policy bundles — treat policy as code
Compliance & Risk
"I need an audit trail my auditors will recognize — before they ask."
Audit trail ready before anyone asks for it.
Every AI request logged. Every policy decision recorded. Every high-risk action flagged. Qadar generates the documentation your DPO, SOC 2 auditor, or board needs — and keeps it without storing raw prompts.
- GDPR-ready redacted-body logging
- DPO workflow and EU data residency option
- SOC 2 and EU AI Act readiness documentation
Real teams. Real outcomes.
Qadar gave us immediate visibility into how AI was being used and helped us uncover shadow AI before it became a real risk. In an environment that handles sensitive customer data like crypto wallets, that level of control is essential.
Mischa Ruerup CEO, Decrypt Capital 
Qadar helped us prevent multiple incidents and brought real control to how AI is used around client and candidate information. For an executive search firm working with sensitive CVs and personal data, that kind of protection is incredibly valuable.
Julian von Bluecher Founder, Talent Tree 
We use agentic AI heavily across internal workflows and client work, so with the EU AI Act approaching, security and compliance became a management issue fast. Qadar gave us the control we needed without turning our team into an AI security department, and let our team stay focused on the core business.
Christoph Buchner CEO, Webnique 
How it works
How Qadar AI Shield works across every surface.
Protect browser, desktop, and mobile workflows while enforcing policy from one control plane.
Cover Every Surface
Deploy Shield Web, Shield Desktop, and Shield Mobile to the workflows already in use. Browser extension, endpoint controls, and mobile workspace protections go live without replatforming your stack.
Enforce In Shield Control
Set policy once in Shield Control, then enforce it across all product surfaces. Approve, justify, transform, or block based on team, data category, model provider, and risk level.
Audit And Govern
Track AI activity across browser, desktop, mobile, and gateway flows in one audit record. Export to SIEM, support compliance review, and keep governance evidence ready for customers and auditors.
Security posture
AI control for teams that can't afford a blind spot.
Shadow AI, data leaks, unapproved tool access, weak approvals and missing auditability are not future risks. They are active exposures in organizations that are using AI today without a control layer.
The goal is simple: enable AI with control, not fear.
Privacy filtering before model calls
Agent tool-use policy enforcement
Approval-aware workflows
Redacted-body audit logging
Agent kill switch — no ticket required
EU data residency (Enterprise)
Pricing
Quote-led packaging that scales with your AI governance needs.
Starter
Safe by default
Scoped to your team
for smaller teams and first workflows
- Shield Web controls
- Shield Control Basic (single admin console)
- Standard policies with warn or block actions
- Approved AI-app controls and basic logs
Business
Governed AI workflows
Scoped to your org
for SMBs and scale-ups using AI daily
- Everything in Starter
- Shield Desktop and Shield Mobile coverage
- SSO/SCIM with group-based policies
- Clipboard, upload, and file controls
- Audit trails across web, desktop, and mobile
Enterprise
Audit-ready control
Custom
for regulated and larger organizations
- Control Gateway and MCP governance
- SIEM / SOAR / ITSM / GRC integrations
- DLP packs and advanced incident workflows
- EU data residency
- Deeper forensic logs and executive dashboards
Regulated
Control for regulated environments
Quote-led
for finance, healthcare, legal, pharma, defense, and similar sectors
- Industry-specific classifiers and policy packs
- Stricter audit exports and retention options
- Expanded jurisdiction and residency controls
- Strong controls for regulated data handling
Common questions
What operations and security leaders ask us first.
What is shadow AI and why is it a risk?
Shadow AI refers to AI tools that employees adopt and use without IT or security approval — ChatGPT, Copilot, Claude, and others. The risk is that company data, client information, and proprietary content enters these models with no policy, no visibility, and no audit record. Most organizations discover they have a shadow AI problem only when a client asks, an auditor flags it, or an incident happens.
How does Qadar compare to our existing DLP or SIEM?
Traditional DLP and SIEM tools were built to catch files, URLs, and network events. They do not inspect the content of AI prompts or the responses that come back. Qadar was built specifically for the AI layer — it understands prompt structure, detects sensitive content in context, and logs the full policy decision, not just a flagged event. Qadar feeds your SIEM via webhook or S3 — it is additive, not a replacement.
Do employees need to change their tools to use Qadar?
No. Qadar operates at the API gateway layer, between your team's AI tools and the model providers. Employees continue using the tools they already use. The governance layer runs transparently in the background.
Where is our data processed and stored — can we keep it in the EU?
Qadar is designed with data residency as a first-class control. Prompt metadata, policy decisions, and audit logs can be scoped to EU-region infrastructure. We do not use your prompt content to train models, and raw prompt data does not leave your defined residency boundary. Enterprise and Regulated tiers include expanded jurisdiction and retention controls.
What happens to the prompts my team sends — does Qadar store them?
Qadar inspects prompts at the point of submission to enforce policy — it does not store raw prompt content by default. Audit records log the policy decision, the classification outcome, and metadata, not the full prompt text. Customers who need forensic log retention for regulated environments can enable that separately under a defined retention policy.
How does Qadar integrate with our existing security stack — SIEM, MDM, SSO?
Qadar is additive, not a replacement. Shield Control exports audit events to your SIEM via webhook or S3, connects to your IdP for SSO and SCIM-based provisioning, and integrates with MDM and MAM for mobile device policy enforcement. ITSM and GRC integrations are available on Enterprise tiers for customers who need incident ticketing and compliance evidence in existing workflows.
How long does deployment take and what does it require?
Most teams reach meaningful coverage within days, not months. Shield Web deploys as a managed browser extension through your existing device management tooling. Shield Desktop installs as a lightweight agent on macOS and Windows. Shield Mobile uses your MDM or a managed workspace app. Shield Control is the cloud admin layer that ties policies together — it does not require an on-premise component or infrastructure changes.
Does Qadar cover AI agents and MCP-based toolchains, not just chat interfaces?
Yes. Shield Control includes a governance layer for internal AI systems, APIs, and agent workflows — including MCP-connected tools. You can set per-model and per-agent policies, inspect tool call patterns, and log agent decisions as part of the same audit trail as end-user prompt activity. This is available on Enterprise tiers and above.
What is your pricing model — why is there no price list on the website?
Qadar is quote-led. The right package depends on the number of users, the surfaces you need to cover (browser, desktop, mobile, gateway), and your compliance requirements. We scope every engagement before quoting so you are not paying for controls you do not need. Request access and we will scope a proposal based on your actual AI footprint.
What is Qadar's compliance posture — SOC 2, GDPR, EU AI Act?
Qadar is built to support customers operating under GDPR and similar data protection frameworks, with data residency controls, processor agreements, and audit export capabilities that map to compliance evidence requirements. SOC 2 and EU AI Act alignment details are shared under NDA as part of the enterprise scoping process. Our platform is designed to produce the audit trail and policy evidence your reviewers and auditors will ask for.