Catch emails, phone numbers, URLs, and financial data in user-generated content. Lasso's four-layer pipeline classifies PII, enforces your rules, and prevents off-platform solicitation before users are exposed.
Returns the PII type detected, confidence score, and location in the content. High-confidence matches are actioned automatically.
See Lasso in actionAllow business emails on a marketplace, but block every phone number on a dating app. Support URLs pass while external payment links get flagged. You set it per platform in the dashboard.
See Lasso in actionA phone number in "call our support at 555-0100" is not the same as "text me at 555-0100" in a dating message. Context determines the action.
See Lasso in actionReviewers see the original content, PII detection data, AI assessment, and suggested action. Every decision feeds back into the AI Moderator.
See Lasso in actionEmails, phone numbers, social handles, physical addresses, credit cards, SSNs, bank accounts. Detected across both text and OCR-extracted image content.
Full URLs, shortened links, deeplinks, obfuscated domains. Every URL format detected and actionable. Whitelist your own domains, block the rest.
Catches contact info disguised with character substitution, spacing, unicode tricks, and emoji separators. "test(at)gmail(dot)com" and "5 5 5 - 0 1 0 0" detected alongside standard formats.
Three layers of AI handle the volume, your rules, and the grey areas. Your team only sees what needs a human, and every decision they make sharpens the AI Moderator.
Customizable moderation that lets you find the right balance between safety and user experience. So you protect your community without suppressing the culture that makes it worth joining.
One API. Clear dashboards. A moderation pipeline built around one-click actions and the right context, right where you need it.
PII detection finds personally identifiable information inside user-generated content: email addresses, phone numbers, URLs, physical addresses, social handles, and financial data like credit card and bank account numbers. On a moderation platform it matters because shared contact info is how users move conversations and payments off-platform, where romance scams, fraud, and recruitment of minors happen out of view. Lasso detects this PII across both text and OCR-extracted image content, then applies your rules to it.
Detection runs through Lasso's four-layer pipeline. ML classification scans every submission for known PII formats and returns the type, a confidence score, and its location. Custom Rules apply your per-platform policy, the AI Moderator weighs context to tell a support number from off-platform solicitation, and edge cases reach human moderators with full context. Around 99.9% of decisions are automated, and each human review feeds back into the AI Moderator.
Regex and keyword filters match fixed patterns, so they miss obfuscated formats and they flag legitimate contact info as readily as a violation. Lasso normalizes evasion tricks like spaced-out digits, unicode lookalikes, and [at]/[dot] substitutions, then the AI Moderator judges intent in context. A support number written as 'call us at 555-0100' passes; 'text me at 555-0100' in a dating message gets flagged. You set the thresholds per platform.
Yes. Contact details hidden in profile photos, screenshots, and listing images are read through OCR and run through the same PII pipeline as typed text. A phone number baked into an image is caught the same way one written in a chat message is, so users can't bypass detection by posting a picture instead of text.
Lasso is GDPR-compliant and supports DSA reporting and audit logs, so PII handling fits regulated workflows. For sectors where unauthorized PII sharing is compliance-critical, such as adult platforms, detection helps prevent the exposure that GDPR and the DSA require platforms to address. Every action is logged, giving you an audit trail of what was detected and how it was handled.
Yes. Lasso supports 200+ languages, and PII detection applies the same per-platform rules regardless of the language the surrounding content is written in. Phone numbers, emails, and URLs are caught alongside obfuscated variants whether they appear in an English chat or a non-English forum post.
Lasso detects 8 PII categories: email addresses, phone numbers, URLs, physical addresses, social media handles, credit card numbers, SSNs, and bank account numbers. Detection works across user-generated text. Each category can be configured independently: flag, auto-remove, mask, or allow per your platform policy.
Lasso catches obfuscated PII regardless of technique: spaced-out phone numbers, emails written with [at] and [dot], unicode lookalike characters, emoji-separated digits, and leet speak substitutions. The detection applies to both text content and OCR-extracted text from images.
Lasso's four-layer pipeline reduces false positives through context. Layer 2 applies your custom rules per content type and policy. Layer 3 (AI Moderator) evaluates whether detected PII is legitimate or a policy violation. A support URL passes. An off-platform solicitation link gets flagged. You configure the thresholds.
Real-time. PII is detected as content is submitted, with no delay experienced by users. At high volume, Lasso maintains predictable latency for real-time moderation. PII detection runs as part of the standard moderation pipeline, so there is no additional processing step or delay.
Four options per PII type: auto-remove the content, mask/redact the PII while keeping the message, flag for human review, or allow. Actions are configurable per PII category and per content type. A dating app might auto-remove phone numbers while a business directory allows them.
Lasso's PII detection finds the contact info, financial data, and obfuscated formats that bypass keyword filters. You integrate through a single API.
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Lasso Moderation
