![]() ![]() In a recent sit-down conversation for the DeepL AI Talks series, Dr. This approach allows DeepL to retain tight control over who is accessing information-keeping your sensitive data out of the wrong hands. If deemed necessary, qualified subcontractors are carefully selected and audited according to ISO 27001 policies. ![]() For example, DeepL recently moved the processing of PDF translation completely in-house, removing any third-party involvement. Whenever possible, DeepL avoids involving subcontractors-since it can be more difficult to maintain full visibility and control when third parties are involved in data processing. In plain terms, these safety features ensure trouble-free, consistent data availability from DeepL-which helps companies streamline their workflows and operate more efficiently. They’re also protected by automatic failover mechanisms-a process which moves applications to standby servers in the case of a failure to preserve data availability. All DeepL Pro services are redundant-meaning availability is ensured thanks to additional or alternate uplinks. How reliable is DeepL, and who has access to your data?ĭeepL not only provides high-quality translations, but it also delivers extremely reliable service. Thanks to DeepL’s excellent data security, full GDPR compliance, and high-quality translations, companies can maximize productivity and reduce costs-all while maintaining the highest level of protection for their sensitive data. This ensures only authorized users can access sensitive data and all personally identifiable information remains secure. All findings are followed up by DeepL’s compliance team to constantly increase the security of DeepL. To further assess the security of its infrastructure and applications, DeepL’s internal security team conducts regular penetration testing with the help of external specialists. Moreover, DeepL's cipher suites-which are a set of algorithms that secure a network connection-are regularly reviewed and updated. With this approach, your sensitive data can be securely processed via DeepL’s software.Īdditionally, all texts from Pro subscribers are deleted after translation-meaning they aren’t stored permanently but only for the duration of translation, then deleted. Plus, Pro subscribers’ texts are never used to train DeepL's AI models.Īs an EU-based company, DeepL complies with all GDPR regulations concerning:Īlongside GDPR compliance, DeepL Pro users also enjoy enterprise-level data security and state-of-the-art transport layer security (TLS) encrypted data transmissions. Unlike in cloud-based environments, this setup guarantees that DeepL retains full control over all your data from start to finish. DeepL does its utmost to protect its servers and ensure that no one can gain unauthorized access. To ensure top-notch data security, DeepL servers are controlled exclusively by DeepL SE and operated in ISO 27001-certified data centers with excellent security measures. even the most personal data.” To protect this sensitive information, data protection must be considered “first and foremost” when evaluating AI software.īy providing customers with optimal data protection without sacrificing quality, DeepL has become the AI communication tool of choice for companies that want to streamline processes and gain a competitive edge in their industry. Benedikt Kohn, an associate at the global law firm Taylor Wessing, explains-modern businesses must understand that “AI relies on the processing of huge amounts of data. Why is data security essential for your business in the age of AI?Īs a leading AI communication tool, DeepL provides high-quality AI translations for thousands of companies around the world to help them get ahead of the competition-but it's not just first-rate translations that set DeepL apart.ĭr. In this post, we’ll discuss why DeepL Pro is the best option for both first-rate translation quality as well as the highest standards of data security and compliance for your company. ![]() With AI’s diverse and growing application in the business world, companies that adopt AI need to be more informed than ever about proper data protection measures. However, to do so responsibly, proper data security and data privacy management must remain a top priority.Ī recent article from World Economic Forum underscores this issue, stating: “As AI models depend on data quality to deliver salient results, their continued existence hinges on privacy protection being integral to their design.” The advances made in AI technology over the past few years have been astonishing, and there’s no doubt that AI will continue to evolve. ![]()
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