🔒 AI Security: Is My Translation Data Safe?
All AI-powered tools, including Lang Q AI, are built upon large language models (LLMs) like OpenAI. This naturally leads to questions about data security—a top concern in the industry.
This guide aims to put your worries to rest by detailing the robust security measures and data handling practices implemented by Lang Q AI and our trusted partner, OpenAI.
🛡️ Top Security Measures
At Lang Q, we adhere to best data security practices and ensure our partners do, too. We implement the following top security measures to keep your data safe:
- Secure Data Transfer & Encryption: Data transfer between Lang Q AI and OpenAI uses a secure API and is protected by Transport Layer Security (TLS). TLS encrypts data in transit and at rest, protecting it throughout its entire lifecycle.
- Industry Compliance: Both Lang Q AI and OpenAI meet rigorous security certifications, including ISO 27001, SOC 2 Type II, and GDPR. This demonstrates our commitment to data privacy and regulatory compliance.
- Robust Access Controls: Strict authentication mechanisms and access controls ensure that only authorized personnel with appropriate permissions can access and handle sensitive data.
- Regular Security Audits: OpenAI proactively conducts regular security audits to identify and address any weaknesses or gaps in infrastructure resilience.
- Strict Data Handling: We follow procedures for data minimization, purpose limitation, and secure deletion. Crucially, OpenAI will not use your data for training purposes (nor will Lang Q) unless you explicitly opt in. Data may be retained securely for up to 30 days to detect abuse, then permanently deleted.
- Data Leak Prevention: Measures are taken to prevent unauthorized access and data leaks, including monitoring user data, enforcing strict access controls, and educating employees on security protocols.
- Redundancy and Backups: We employ redundant systems and backup mechanisms to prevent data loss and downtime resulting from system failures.
- Continuous Threat Detection: Advanced security monitoring tools detect and mitigate potential security threats in real-time. Using an AI detector further enhances our ability to flag anomalies.
🤝 Transparency and Team Education
Transparency and trust are fundamental to AI translation security. OpenAI documents its security policies, allowing customers to understand exactly how their data is handled, stored, and secured.
Furthermore, you must educate your team on AI translation security. Training employees on the safe and proper use of these tools, covering data sharing guidelines, and approval processes, helps prevent the risk of human error.
❓ What Data is Used?
Lokalise AI only uses the following data to translate your content:
- The source text (the content to be translated).
- Contextual information (like your glossary or style guide).
AI translation can speed up your process and cut costs, but you must choose a service that aligns with your data security obligations.
Lang Q AI implements robust security measures with OpenAI, our trusted AI provider, allowing you to translate at speed, in bulk, and with confidence.
Would you like me to elaborate on the security compliance standards (like GDPR or SOC 2) or perhaps discuss the specific ways AI can be leveraged in the localization process?

