New Security Layers for Machine Translation Solutions

In the past couple of weeks, we’ve embarked on a journey into the intricate world of machine translation and its relationship with cybersecurity. We introduced the dilemmas surrounding machine translation and cybersecurity and delved into the “secure-by-design” philosophies that are reshaping the MT landscape. Today, we’re zooming in on one of the industry’s frontrunners: Language Weaver. While Language Weaver is not the only tool on the market, they offer a robust set of security features and can provide a good example of what modern localization programs need to account for when deploying machine translation solutions.

At the heart of Language Weaver’s security measures is its unwavering commitment to data protection and privacy. Recognizing the vast and varied data MT systems handle, from internal communications to proprietary research, Language Weaver ensures that data protection and privacy are primary considerations throughout its infrastructure development and operational procedures.

Language Weaver’s commitment to security is built into its software development process. Adhering to a thorough secure software development lifecycle (SSDLC), it integrates security measures from the get-go, ensuring that the solutions are not only functionally powerful but also fortified against potential threats.

From its robust cloud infrastructure, hosted on the renowned Amazon Web Services (AWS), to its emphasis on cloud data residency and the flexibility of hybrid deployment models, every facet of Language Weaver’s solutions is designed with security in mind. This also means comprehensive auditing and logging capabilities as well as a secure encrypted communication protocol between the client and the platform to safeguard the confidentiality and integrity of processed content during transmission. 

Modern machine translation solutions will need to follow suit with cyber security at the forefront of their mind. Other important considerations to take into account when selecting a machine translation provider include API integration security, data handling, access control and authentication, user roles and permission, ongoing feedback mechanisms, ongoing monitoring and security assessments, and AI-readiness and adaptability for new technologies. 

The world of machine translation is complex, and the stakes are high. Language Weaver stands out as a testament to how MT solutions can be both powerful and secure. As we look to the future, the role of AI in reshaping this landscape becomes even more significant. Join us next week as we explore how AI is revolutionizing machine translation and the measures we need to adopt to navigate this new frontier securely.

Read more on the topic of machine translation and cybersecurity in the September issue of MultiLingual magazine.

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RWS is a global leader in transforming content through translation, localization and AI-enabled technology – blended with human expertise.

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