Privacy Policy.
How Kmoovan Ltd protects and values your data worldwide.
1. Introduction & Liability
This policy details how Kmoovan Ltd (30 Ouziel Street, Jerusalem) processes your data. As an infrastructure expert, we apply the same level of rigor to our own systems as we demand for our clients. We respect the GDPR (EU), the Privacy Protection Law (Israel, including Amendment 13), and US standards.
2. Nature of Collected Data
- Direct: Name, email, company, and phone via our forms.
- Technical: IP address, connection logs, navigation metadata, and technical cookies.
- Sensitive: Kmoovan does not collect any "Particularly Sensitive Data" (health, opinions, biometrics) via this website, unless specifically agreed upon within a service contract.
3. Why Do We Process Your Data?
We process your information on the following legal bases:
- Contractual Execution: To answer your quote requests and manage our services.
- Legitimate Interest: To secure our infrastructure and improve user experience.
- Consent: For sending technological communications (Newsletters), revocable at any time.
4. Cross-Border Flows & Hosting
Your data is hosted on Netlify (USA) servers. These transfers are governed by the Data Privacy Framework (DPF) and EU standard contractual clauses. Due to our headquarters being in Israel, we benefit from the European Commission's adequacy decision, guaranteeing a level of protection equivalent to GDPR.
5. Your Rights & Control
In accordance with international laws, you have the following rights:
To exercise these rights, contact Fitoussi Stéphane at contact@kmoovan.com.
6. Cookies & GPC Signals
We honor Global Privacy Control (GPC) signals. If your browser sends this signal, we automatically disable non-essential trackers. You can also manage your preferences via our cookie management center.
7. AI Governance & Security
Kmoovan uses AES-256 encryption for data at rest and TLS for data in transit. If Artificial Intelligence tools are used to process your requests, we guarantee that no personal data is used to train third-party models without explicit consent.
