product
Shield Web
Inspect browser AI prompts before they leave the tab and close the DLP gap.
For CISOs
Your org has an AI blind spot
Shadow AI bypasses your DLP and existing guardrails. Qadar AI gives CISOs provable control over every AI interaction — enforced, logged, defensible.
DLP-equivalent for AI
Agent kill switch
EU-sovereign by design
What keeps CISOs up at night
Each pain point mapped to a control path
Every risk and the control that answers it — side by side, from detection to enforcement.
DLP gap
Your DLP catches files and URLs but does not see what goes into AI prompts. Sensitive data leaves through prompt submissions with no policy enforcement and no audit trail.
Prompt-level data protection
Qadar AI inspects every AI prompt before submission and enforces policy at the point of interaction. Classification, redaction, and blocking happen before data reaches the model.
Agent visibility
AI agents make tool calls, access data, and take actions that your SIEM cannot see. You have no visibility into what agents are doing or what data they are accessing.
Full agent audit trail
Shield Web provides full agent audit traces with tool-call logging, session monitoring, and an agent kill switch for immediate termination of out-of-policy agent behavior.
DPO audit trail
When your DPO or external auditor asks for evidence of AI governance, you have event logs at best. No structured policy outcomes, no classification decisions, no approval records.
Audit-ready governance evidence
Shield Control produces structured audit entries with policy outcomes, classification decisions, timestamps, and approval records. DPO-ready reports are available on demand.
Cyber insurer docs
Cyber insurers are starting to ask about AI governance controls. You cannot produce documentation that demonstrates policy enforcement, audit coverage, or incident response for AI-specific risks.
Insurance-ready documentation
Qadar AI generates the evidence documentation cyber insurers need — policy enforcement records, audit trail exports, and governance posture summaries that demonstrate active AI risk management.
AI Risk Calculator
Benchmark your AI exposure before your next audit review
Use public EU AI Act and Shadow AI breach benchmarks to estimate exposure in under one minute
- Based on EU AI Act benchmarks
- Results in under one minute
- No signup required
Estimate your exposure
Know your risk in 60 seconds
Capabilities
Everything you need to prove AI is under control
Full AI activity visibility
See every AI interaction across browser, desktop, mobile, and agent surfaces in one console. No blind spots between surfaces.
Structured audit log
Every AI interaction produces a structured audit entry with policy outcome, classification, timestamp, and user context. Export to your SIEM for unified security monitoring.
Agent kill switch
Terminate AI agent sessions that exceed policy boundaries. Kill switch controls are enforced immediately with full incident logging.
Board-ready AI risk reporting
Turn enforcement data into the one-slide answer your board asks for every quarter — posture, incidents, and trends in one export.
GDPR/EU AI Act readiness
Data residency controls, redacted-body logging, and structured audit trails are designed to support compliance with GDPR and EU AI Act requirements.
Agent tool-access control
Govern which tools and data your AI agents may touch — per-agent and per-tool policies with full audit coverage, including MCP-connected workflows.
FAQ
Questions CISOs ask us first
Questions CISOs ask us first
FAQ
Traditional DLP was not built for AI prompts. It catches files and URLs but does not inspect prompt content, classify AI-specific sensitive data patterns, or produce AI-specific audit evidence. Qadar AI is the DLP-equivalent layer specifically built for AI interactions. It is additive to your existing DLP, not a replacement.
Yes. Shield Control exports structured audit events via webhook and S3 integration. Events can be routed to Splunk, Sentinel, Elastic, and other SIEM platforms. Qadar AI data appears alongside your existing security telemetry.
Fail behavior is policy-defined per tenant and workflow. You can enforce fail-closed for high-risk routes and controlled fail-open for lower-risk workflows where continuity is required.
Shield Web deploys as a managed browser extension through your existing device management. Most teams reach meaningful policy enforcement within days, not months. No network reconfiguration or proxy setup required.
Gateways see traffic, not meaning. Qadar AI classifies prompt content, enforces policy at the point of interaction, and produces audit evidence per decision — including for local desktop and agent surfaces a gateway never sees.
No. Shield Web deploys as a managed browser extension through your existing device management — no new endpoint agent, no proxy, no network changes. Desktop and mobile coverage are optional modules you add only where you need them.
Related
Go deeper on CISO-level AI security
product
Shield Control
Give security teams one console for policy decisions, audit exports, and approvals.
product
Security architecture
How enforcement, data residency, and fail behavior are built — EU-sovereign by design.
Book a CISO briefing — 45 minutes, technical and strategic
A product and security specialist will reply within one business day
