Shadow AI exposure
Teams use unapproved AI tools outside policy. Security and compliance lose visibility and cannot prove control during audits.
Use Case: Financial Services
AI Governance & Compliance for Financial Services
Your teams already use ChatGPT, Notion AI, and Copilot. Qadar makes that usage compliant-by-default with policy enforcement, EU data residency options, and a full audit log for every AI interaction.
Where teams get exposed
Three AI risks that create regulatory exposure fast.
Customer data in public LLMs
PII and account details reach third-party models without guardrails, creating GDPR and banking-governance exposure.
Audit trail gaps
When internal audit asks who used which model and why, teams cannot produce a consistent, regulator-ready AI activity record.
How Qadar solves it
Controls mapped to financial-services outcomes.
Policy controls at the AI gateway
Define and enforce approved tools, users, and data classes in one place. Teams move faster while control evidence supports MaRisk alignment and internal governance reviews.
Immutable AI audit logs
Every request is logged with actor, model, policy decision, and timestamp so compliance teams can answer BaFin and internal audit requests without manual reconstruction.
EU data residency options
Keep AI governance telemetry in-region to reduce cross-border transfer risk and support GDPR and DORA-aligned operating requirements.
Real companies. Verified outcomes.
Three early pilot customers across financial services, executive search, and professional services — each managing sensitive client data under real regulatory pressure. Deployed across all four Shield surfaces in days, not months.
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 
< 1 day Median setup time for a new tenant deployment
< 50ms Gateway overhead at p99 during policy evaluation
100% Prompts inspected before any audit record is written
Next step
Start a controlled pilot for your banking or fintech stack.
Book a 30-minute demo to map your AI usage, identify compliance gaps, and define a low-risk rollout path.