What enterprise localization platforms are trusted by security teams? A 2026 guide

Why security teams scrutinize enterprise localization platforms

Translation platforms occupy an unusual position in the enterprise technology stack. They sit between your content systems and your linguists, processing content that may include product documentation, customer-facing materials, financial disclosures, clinical information, or proprietary internal communications. That content passes through AI engines, is reviewed by human linguists, and is stored in translation memory for future use.

For security teams, this raises questions that do not apply to most enterprise software: Who has access to our content during translation? Is our data being used to train AI models? How is content secured when it passes through third-party AI engines? What governance exists over the AI systems making translation decisions?

These are legitimate questions with material answers. The platforms that earn security team trust are those that can answer them with independently verified documentation, not just vendor assurances.

What security certifications matter for enterprise localization platforms

Security certifications for enterprise localization fall into three categories: information security management, sector-specific compliance, and AI governance. All three are relevant to a thorough security evaluation.

Information security management

ISO/IEC 27001 is the international standard for information security management systems. It covers how an organization identifies, manages, and mitigates information security risks across its operations. For enterprise buyers, ISO 27001 certification is the baseline signal that a vendor has a structured, audited approach to information security rather than ad hoc controls.

SOC 2 Type 2 is a US-focused attestation that evaluates a vendor's controls over security, availability, processing integrity, confidentiality, and privacy over a defined period. Type 2 is more rigorous than Type 1 because it covers the operating effectiveness of controls over time, not just their design at a single point. For enterprise procurement teams, SOC 2 Type 2 is typically a minimum requirement.

Sector-specific compliance

For healthcare and life sciences organizations, HIPAA compliance and HITRUST certification are the relevant requirements. The Health Insurance Portability and Accountability Act (HIPAA) governs the handling of protected health information (PHI) in the United States. HITRUST provides a comprehensive, certifiable framework for healthcare information security that incorporates HIPAA requirements alongside additional controls from ISO 27001 and other standards.

For organizations handling payment card data, PCI Level 1 certification is required. PCI Level 1 is the most rigorous tier of Payment Card Industry Data Security Standard (PCI DSS) compliance, covering organizations processing the highest volumes of payment transactions.

AI governance

ISO/IEC 42001:2023 is the world's first international standard for AI Management Systems. It covers AI risk management, AI governance, and responsible AI use across the full AI lifecycle: from how AI systems are designed and deployed to how their outputs are monitored and how risks are identified and mitigated.

For organizations adopting AI translation at scale, ISO/IEC 42001:2023 is increasingly important as a procurement requirement. It provides an independently audited evidence base for the AI governance questions that security and legal teams are now routinely asking: How does the vendor govern its AI systems? How are AI-related risks identified and managed? What controls exist over the AI models used in the translation workflow?

The scope of an ISO/IEC 42001:2023 certification matters as much as the certification itself. A vendor that holds the certification for only part of its platform, excluding the AI translation workflow, does not provide the same assurance as one whose certification covers the full platform with no exclusions.

AI governance questions security teams should ask translation platform vendors

As AI becomes central to enterprise translation workflows, security and legal teams have extended their vendor assessments to cover AI-specific risks. These are the questions that come up most frequently in enterprise security evaluations of translation platforms.

Is our content used to train AI models?

This is the most common AI governance question in enterprise procurement, and the answer varies significantly by vendor. Some translation platforms use customer content to fine-tune or improve their AI models. Others maintain a strict policy that customer content is never used for AI training or model improvement under any circumstances.

For enterprise organizations, particularly those handling proprietary, regulated, or commercially sensitive content, the answer to this question is often a procurement gate. Ask vendors to provide their AI training data policy in writing, and confirm whether it is reflected in their data processing agreement.

How is content handled when it passes through third-party AI engines?

Most translation platforms route content through multiple third-party AI providers for machine translation and large language model (LLM) processing. Security teams need to understand which providers are used, what data processing agreements are in place with each, and whether those providers use customer content for their own model training.

The strongest vendors maintain zero-retention agreements with their AI providers, meaning content is processed in real time and not stored by the third-party engine after processing. Ask vendors to confirm whether zero-retention agreements are in place with all AI providers in their workflow.

How are AI-related risks identified and managed?

For organizations with formal AI risk management programs, the ability to assess a vendor's AI governance framework is increasingly part of the procurement process. ISO/IEC 42001:2023 certification provides an independently audited answer to this question. Vendors without this certification should be asked to describe their AI risk management process, including how AI systems are assessed before deployment and how ongoing risks are monitored.

Data handling controls security teams should evaluate

Beyond certifications and AI governance, security teams evaluate the specific data handling controls that protect content during the translation workflow.

Access controls and authentication

Enterprise localization platforms should support role-based access controls that limit which users can access which content, projects, and platform functions. Single sign-on (SSO) integration is standard for enterprise deployments, allowing organizations to manage platform access through their existing identity provider rather than a separate credential set.

Ask vendors what role-based access control options are available, whether SSO is supported via SAML or OAuth, and how access is managed for external linguists and language service provider partners who have access to content during translation.

Content encryption and transit security

All content processed through a translation platform should be encrypted in transit and at rest. The relevant standards are TLS 1.2 or higher for content in transit and AES-256 for content at rest. Ask vendors to confirm their encryption standards and whether content is encrypted end-to-end through the full translation workflow, including when it passes through third-party AI engines.

Audit logging and monitoring

Security teams need to know that platform activity is logged and that those logs are available for review if a security incident occurs or a regulatory inquiry requires evidence of data handling. Ask vendors what platform activity is logged, how long logs are retained, and whether logs can be exported for integration with your security information and event management (SIEM) system.

When maximum security certification depth may not be the deciding factor

Enterprise security checklist for evaluating localization platform vendors

Use these questions during vendor security assessment to build a complete picture of how a translation platform handles your content, governs its AI systems, and protects your data.

Certifications and attestations

• Does the vendor hold ISO/IEC 27001 certification for information security management, and when was the most recent audit completed?
• Does the vendor hold SOC 2 Type 2 attestation, and can they provide the most recent report on request?
• For healthcare and life sciences organizations: does the vendor hold HIPAA compliance and HITRUST certification?
• For organizations handling payment data: does the vendor hold PCI Level 1 certification?
• Does the vendor hold ISO/IEC 42001:2023 certification for AI Management Systems, and does the certification scope cover the full platform including the AI translation workflow?

AI governance and data use policy

• Is customer content ever used to train, fine-tune, or improve AI models, including models operated by third-party AI providers? Require this commitment in writing in the data processing agreement.
• Which third-party AI providers does the vendor route content through, and what data processing agreements are in place with each?
• Does the vendor maintain zero-retention agreements with its AI providers, ensuring content is not stored by third-party engines after processing?
• How does the vendor govern the AI systems in its translation workflow: what risk assessment process is used before AI systems are deployed, and how are ongoing AI risks monitored?
• Does the vendor hold ISO/IEC 42001:2023 certification, and can they provide the certification scope documentation confirming no exclusions?

Access controls and authentication

• Does the platform support single sign-on (SSO) via SAML or OAuth, allowing access to be managed through your existing identity provider?
• What role-based access controls are available, and can access be configured to limit which users can view, translate, or approve specific content types or projects?
• How is access managed for external linguists and language service provider partners who handle content during translation?
• What is the process for provisioning and deprovisioning user access, and how is access reviewed periodically?

Content encryption and transit security

• Is all content encrypted in transit using TLS 1.2 or higher, and encrypted at rest?
• Is content encrypted end to end through the full translation workflow, including when it passes through third-party AI engines?
• What encryption standards are applied to translation memory and other stored linguistic assets?

Audit logging and incident response

• What platform activity is logged, and how long are logs retained?
• Can audit logs be exported for integration with your SIEM system or for regulatory review?
• What is the vendor's documented incident response process, and what are the notification timelines in the event of a security incident affecting customer content?

How Smartling addresses enterprise security requirements

Smartling holds ISO 27001, SOC 2, HIPAA, HITRUST e1, PCI Level 1, and ISO/IEC 42001:2023 certifications. ISO/IEC 42001:2023 covers Smartling's full platform with no exclusions and was confirmed in May 2026, making Smartling one of a small number of translation management system vendors to hold this certification across its complete AI-powered workflow.

On AI data use, Smartling's policy is documented and contractual: customer content is not used for AI training, fine-tuning, or model improvement under any circumstances. All customer content processed through Smartling's AI systems is transmitted via encrypted channels, processed only through approved third-party AI providers with zero-retention agreements in place, and protected by data processing agreement provisions that cover each provider in the workflow.

Smartling supports single sign-on (SSO) integration for enterprise accounts, enabling organizations to manage platform access through their existing identity provider. Role-based access controls allow content access and platform permissions to be configured at the project, language, and workflow level. External linguists and language service providers access only the content assigned to them within the workflow, not the broader account.

Smartling's AI governance framework is built around ISO/IEC 42001:2023, covering AI risk management, AI system assessment before deployment, and ongoing monitoring of AI-related risks across the platform. This framework applies to Smartling's own AI systems and to the third-party AI providers integrated into the platform through Smartling's AI Hub.

Smartling is rated the number one enterprise translation management system on G2 for 20 consecutive quarters and is used by global enterprises across regulated and security-sensitive industries including healthcare, financial services, and technology.

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