Proton Mail
Secure your company’s communications with Proton Mail — the business email solution trusted by over 50,000 organizations. With end-to-end encryption built in, your internal and external communications stay confidential by default. Proton Mail helps your business meet GDPR, HIPAA, and other compliance standards, while giving you full control over your data under strong Swiss privacy laws. Empower your team with encrypted email and calendar, support for your custom email domains, professional branding, and simple migration from providers like Google Workspace or Microsoft 365 — no IT team required.
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Keeper Security
Password security is the foundation of cybersecurity. Keeper's powerful password security platform will protect your business from cyberthreats and data breaches related to passwords.
Research shows that 81% of data breaches can be attributed to weak passwords. Password security platforms are an affordable and easy way for companies to address the root cause of most data breaches. Your business can significantly reduce the risk of data breaches by implementing Keeper.
Keeper creates strong passwords for all websites and apps, then secures them on all devices. Each employee receives a private vault to store and manage their passwords, credentials and files, as well as private client data. Employees will save time and frustration by not having to remember, reset, reuse, or remember passwords. Industry compliance is achieved through strict and customizable role-based access controls. This includes 2FA, usage auditing, and event reporting.
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Tresorit
Tresorit is a zero‑knowledge, end‑to‑end encrypted cloud collaboration platform designed for individuals and organizations that need uncompromising data security. It enables users to securely store, sync, and share sensitive files while ensuring that only the data owner and explicitly authorized recipients can access the content. Files are encrypted on the user’s device before upload, and encryption keys are never available to Tresorit, eliminating the risk of provider‑side data access or exposure.
Built as a privacy‑first alternative to conventional cloud services, Tresorit supports secure internal collaboration as well as controlled external data exchange. Teams can share files and folders with granular permission settings, revoke access at any time, and monitor activity to maintain full visibility and control. External sharing is protected through encrypted links and secure email delivery, replacing risky attachments and uncontrolled file transfers.
Tresorit also enables secure, long‑term collaboration with clients and partners through encrypted data rooms that centralize documents, tasks, and approvals in a single protected workspace. Integrated digital signatures allow documents to be reviewed and signed without leaving the encrypted environment, preserving security throughout the entire document lifecycle.
With advanced admin controls, auditability, and configurable data residency options, Tresorit is built to support strict regulatory and compliance requirements. By combining strong security with ease of use, Tresorit allows organizations to collaborate productively while maintaining confidentiality, ownership, and trust over their most sensitive data.
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Roseman Labs
Roseman Labs allows you to encrypt and link multiple data sets, while protecting the privacy and commercial sensitivity. This allows you combine data sets from multiple parties, analyze them and get the insights that you need to optimize processes. Unlock the potential of your data. Roseman Labs puts the power of encryption at your fingertips with Python's simplicity. Encrypting sensitive information allows you to analyze the data while protecting privacy, commercial sensitivity and adhering GDPR regulations. With enhanced GDPR compliance, you can generate insights from sensitive commercial or personal information. Secure data privacy using the latest encryption. Roseman Labs lets you link data sets from different parties. By analyzing the combined information, you can discover which records are present in multiple data sets. This allows for new patterns to emerge.
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