Why Data Security Should Be a Priority When Choosing Machine Translation in India

In the BFSI sector, data isn’t just an operational asset –  it’s a matter of trust, compliance, and national interest. As banks, insurers, and financial institutions digitize and expand across India’s linguistic landscape, one key enabler is machine translation in Indian languages.

But here’s the catch: in an industry where security is paramount, very few machine translation solutions are built to meet the high standards of BFSI firms.

It’s no longer enough for a translation engine to be fast or affordable. It must also be secure, enterprise-ready, and tailored to India’s linguistic complexity.

Why Security Matters

Every time you translate a web page, policy document, onboarding flow, or customer message, you’re potentially handling sensitive content:

• Financial product terms
  
• Internal processes
  
• KYC-related instructions
  
• Compliance or legal language
  
• Customer communications at scale
  

If your machine translation engine can’t ensure complete security in how it processes and delivers those translations, your organization could face:

• Regulatory violations (IRDAI, RBI, and other compliance frameworks)
  
• Breach of contractual obligations with partners or customers
  
• Reputational damage due to flawed or leaked messaging
  
• Legal exposure through inaccuracies or unauthorized use of content
  

Security-conscious firms in BFSI understand that even small lapses can have major consequences, especially when operating at national or multilingual scale.

Common Red Flags in Translation Solutions

Let’s be honest: many popular AI tools on the market today weren’t designed for BFSI environments. Generic MT options such as Google Translate, Bing Translator, or even ChatGPT are built for broad usage, and not compliance-driven, high-stakes translation tasks.

What typically goes wrong?

• Inconsistent translations: Financial language is precise. Generic MT can fail to capture regulatory nuances or product terminology.
  
• No support for controlled vocabularies: BFSI teams need terminologies to be locked down. Generic tools don’t accommodate this.
  
• No human intervention: There’s often no way to override or QA outputs before they go live, which is a major risk in regulated environments.
  
• No integration with existing BFSI tech stacks: You need MT that fits into your CMS, CRM, or internal document management workflows and not the other way around.
  
• No scalability across India’s languages: Most free MT engines offer basic support for Indian languages. Few handle the colloquialisms, dialects, or industry-specific nuances BFSI firms need.
  

What Makes a Secure MT Engine for Indian BFSI Use Cases?

If you’re evaluating options for AI translation for Indian languages, here are some must-have security and enterprise-readiness criteria:

✅ Built for Indian BFSI Workflows

Look for MT engines trained specifically on financial and insurance content. They should be able to correctly decipher between yield in agriculture v/s yield from the market.

✅ Terminology Control and Style Guide Support

Can the engine enforce your brand and regulatory terminology consistently across all languages? For BFSI, this is not just a nice-to-have – it’s essential!

✅ Manual Intervention When Needed

Even the best machine translation for Indian languages can require oversight. Choose a platform that allows human validation, overrides, or collaborative workflows when needed.

✅ Integration-Ready

The engine should plug into your CMS, CRM, policy portal, chatbot system, or email automation tool with ease. Speed to go-live is critical in BFSI timelines.

✅ Scalability Across Content Types

Your MT engine should handle everything from webpages to mobile app flows, policy documents, multilingual chatbots, training videos, and SMS/email communications, with equal ease.

Short-Term Savings vs. Long-Term Risk

We often see teams tempted by “quick fixes” – a free plugin here, a copy-paste translation there. But while generic solutions may offer cost savings upfront, they pose:

• Higher risk of regulatory non-compliance
  
• Poor experience for multilingual users
  
• Inability to scale as your services grow across Bharat
  

When translation is treated as a checkbox instead of a core business function, the risks outweigh the rewards.

Why MoxWave is the Right Choice for Indian BFSIs

At Process9, we’ve developed MoxWave, an AI-powered machine translation platform designed specifically for Indian enterprise use cases. Our MoxNMT models are:

• Trained on domain-specific BFSI content
  
• Capable of handling colloquial, customer-friendly language
  
• Highly secure and ISO 27001 certified
  
• Built in India, for Indian languages, with no external engine dependencies
  
• Customizable with glossaries, style guides, and human-in-the-loop workflows
  

Trusted by India’s top financial institutions, MoxWave delivers the best machine translation for Indian languages, without compromising on security, accuracy, or enterprise readiness.