Does Your Firm’s Language Coverage Leave You Exposed? 

After years of enforcement focused on which channels business communications take place in, regulators are sharpening their focus on the languages those conversations are conducted in, and whether firms can detect misconduct across them.  

The multi-billion dollar wave of off-channel communications fines in 2025 taught financial institutions a hard lesson: You can’t monitor what you can’t see. Firms scrambled to close channel coverage gaps across WhatsApp, Telegram, and other previously unmonitored channels. But closing those gaps revealed equally critical blind spots that many firms are still trying to reckon with: Conversations happening in language surveillance systems aren’t monitored.  

For global financial firms, this is an active risk. A recent FINRA prioritization report for 2026 was no less plain. “Failing to review electronic communications in non-English languages” will be an area of focus. As enforcement increasingly scrutinizes language coverage gaps, the window to address this vulnerability proactively is narrowing.

In this article, we’ll explore:  

• Why language coverage has become a critical compliance imperative. 
• What recent enforcement actions are telling us about where regulators are focused next.
• What concrete steps can your firm take to close the gap before it becomes a problem?

When Channel Coverage Isn’t Enough 

In August 2024, came a significant shift in regulatory enforcement. The CFTC’s $4 million fine against a tier 1 financial firm marked the first time a US regulator focused on surveillance failures, specifically as a result of gaps in language coverage. The order revealed that a substantial percentage of monitored employees were communicating in languages other than English. Yet the firm wasn’t monitoring any non-English communications. This wasn’t just a failure to capture conversations—it was a failure to monitor the languages those conversations were actually happening in. 

The implications for firms globally are significant. If your surveillance system lacks the capability to effectively monitor more than one or two languages, you’re leaving a meaningful portion of your risk exposure undetected. The problem compounds further when employees switch languages mid-conversation, which occurs frequently in global organizations and is a known method for concealing misconduct that exploits exactly these kinds of gaps.  

Language Coverage Can No Longer Be Deferred 

The regulatory question has now shifted from “are you capturing communications?” to “can you demonstrate your surveillance would detect misconduct across all communications?” Three converging factors have made 2025 a watershed moment: 

1. Regulatory Enforcement Has Arrived 

The tier 1 financial firm’s $4 million penalty created a domino effect. In explicitly citing gaps in voice and language monitoring, a clear precedent was set: Language coverage is no longer a nice-to-have, it’s a requirement. While the action was US-led, regulators elsewhere, including the UK’s FCA, are now pressing firms on how they monitor language coverage. Enforcement momentum, combined with better supervisory technology, is making these questions harder to avoid. 

2. Technology Has Matured 

Five years ago, multilingual voice surveillance often involved expensive systems requiring significant manual review for accuracy. Today, AI-powered transcription and translation provide highly accurate results, automatically identify language switching mid-conversation, and integrate seamlessly with existing surveillance platforms. The compliance industry has crossed the threshold where effective multilingual surveillance is both technically feasible and economically viable. 

3. Competitive Intelligence Matters 

As firms adopt modern language monitoring, gaps in multilingual surveillance capabilities are becoming more visible. Legacy platforms that lack accurate multilingual detection, identification, transcription and translation are increasingly difficult to justify—both in peer comparisons and during regulatory examinations. Without that, language gaps are more likely to draw deeper supervisory scrutiny. And where firms rely on platforms that cannot support comprehensive coverage, regulators expect a clear, risk-based rationale supported by documented controls, placing a heavy burden on the firms themselves.  

If You’re Not Monitoring the Language, You’re Not Monitoring the Risk 

Following enforcement for gaps of non-English speaking digital communications, examiners across different jurisdictions now explicitly ask: “What languages are spoken across your trading desks? How do you monitor communications across multiple languages? Can you demonstrate your surveillance system would detect violations regardless of language?” Firms without satisfactory answers face heightened scrutiny, expanded examination scope, and increased probability of findings. 

The stakes extend beyond regulatory penalties: 

• Undetected Risk Exposure: Every unmonitored language represents a blind spot where market abuse, collusion, and misconduct can flourish undetected. Consider a trading desk where 40% of conversations occur in a non-monitored language. You’re not monitoring 40% of your risk and are creating a safe haven for sophisticated actors who understand your system’s limitations. 
• Operational Inefficiency: Post-incident investigations become exponentially more complex when relevant communications exist in unmonitored languages. Firms end up paying for emergency translation services, extending investigation timelines, and potentially missing critical evidence during time-sensitive inquiries. Proactive language coverage dramatically accelerates investigations and reduces costs. 

What Compliance Teams Need to Do to Achieve Multilanguage Coverage 

Teams looking to reduce blind spots and strengthen their surveillance should take a structured, risk-based approach to expanding language coverage. Based on regulatory expectations and proven practices, the following six steps offer a practical way to identify gaps, prioritize risk, and improve multilingual monitoring over time. 

1. Conduct Language Risk Assessments  

Survey business units to identify all languages spoken by client-facing staff. Quantify the communication volume by language and prioritize high-risk areas where language gaps intersect with high-risk activities. 

Deliverable: Executive summary showing communications by language, coverage gaps, and risk-prioritized remediation roadmap. 

2. Evaluate Current Capabilities 

Test existing surveillance platforms with multilingual digital communications. Document accuracy, language identification capabilities, and false positive rates. Compare capabilities against regulatory expectations: Written policies for monitoring non-English communications, systematic voice review, and language-specific controls. 

Key Questions: Can we automatically identify languages? Detect mid-conversation switching? Transcribe with sufficient accuracy for automated alerting? Demonstrate these capabilities to regulators? 

3. Develop Written Policies 

Document surveillance approach for each language. Establish language-specific risk lexicons covering market manipulation terms and misconduct language. Define systematic voice review processes, escalation protocols, and documentation standards for audit purposes. 

4. Implement Risk-Based Controls 

High-Risk Client-Facing Desks:  Deploy comprehensive voice capture, real-time transcription, multilingual identification with mid-conversation switching detection, integrated surveillance policies applying market abuse detection across all languages, and unified platforms combining voice with electronic communications. 

Lower-Risk Activities: Use on-demand identification to trigger investigations, periodic sampling, and escalation-based surveillance appropriate for roles without direct market manipulation risk. 

Operational Considerations: Route alerts to reviewers with language expertise, implement code-switching detection (language switching) for evasion techniques, develop culturally informed risk lexicons, and continuously calibrate systems by monitoring false positive rates and investigation outcomes by language. 

5. Test and Validate Capabilities 

Submit standardized multilingual recordings (including financial jargon, background noise, multiple speakers) and measure word error rates. Test language identification with mixed-language conversations. Verify lexicons generate appropriate alerts without excessive false positives. 

Documentation: Maintain testing results showing accuracy metrics by language, document limitations and mitigation strategies, and prepare demonstration capability for regulatory examinations. 

6. Establish Ongoing Monitoring 

Quarterly: Analyze alert volumes, false positive rates, and investigation outcomes by language and by digital communication type. Update lexicons based on new terminology or evasion techniques. 

Annual: Reassess language risk landscape, benchmark technology capabilities against evolving offerings, monitor regulatory requirement updates, and conduct cost-benefit analysis. 

Firms that effectively implement the above steps, see results across faster misconduct detection, stronger exam posture and shorter investigations.  

How Shield Eliminates Language Blind Spots  

Multilingual surveillance requires more than transcription or translation. It requires a platform that can detect risk, consistently and defensibly, across languages, channels, and regions. 

Shield is built to do exactly that: 

• Ingests communications from 100+ channels and applies unified surveillance logic across written and voice communications, ensuring risk is monitored consistently regardless of where it appears. 
• Detects risk natively in 14+ languages, operating directly on the source language to preserve meaning, context, and intent—without relying on translation for detection. 
• Supports translation across 99+ languages for investigations and review, enabling global teams to understand, collaborate, and act within a single platform. 
• Fully integrates voice into the surveillance workflow, with audio transcribed, language-identified (including mid-conversation switching), and analyzed alongside email, chat, and collaboration data under the same controls. 
• Provides end-to-end auditability, with built-in analytics and a defensible audit trail covering language identification, transcription confidence, translation usage, and alert outcomes. 

The result is a single platform that closes language-driven surveillance gaps and scales with global operations. 

The Path Forward 

Just as firms couldn’t claim effective risk detection while employees used WhatsApp for business, they can no longer claim effective digital communications surveillance when conversations occur in unmonitored languages. 

Language coverage is becoming the standard. The only question left is whether you close the gap now or explain it to regulators later. 

Ready to strengthen your language coverage? Shield’s team can help you assess your capabilities and demonstrate how comprehensive multilingual surveillance transforms digital communication monitoring into true risk management.