Detect AI-generated text in user-generated content

Lasso supports moderation across 200+ languages, and AI-generated text detection runs alongside toxicity, spam, and PII signals in the same call. Accuracy varies with language and message length, so you can tune thresholds per content type for the languages your platform sees most.

Plagiarism and essay checkers tell you whether a document was copied or machine-written. Lasso detects AI-generated text inside live user-generated content like messages, reviews, comments, and profiles, then decides what to do with it. The probability score feeds the four-layer pipeline, where your rules and the AI Moderator judge whether the AI-generated text is actually harmful in context.

Layer 1 runs ML models that score every message for AI-generation signals. Layer 2 applies your custom rules and thresholds per content type. Layer 3 is the AI Moderator, which judges whether the AI-generated text is harmful given content type, user history, and policy. Layer 4 sends borderline cases to human reviewers with full context, and those decisions retrain the pipeline. The pipeline automates around 99.9% of decisions and routes the rest to people.

Lasso is a platform with both an API and a dashboard, so you connect your text sources through one API and configure thresholds and rules in the dashboard without code. AI-generation probability arrives in the same call as toxicity, spam, and PII signals. Most teams connect their text sources through a single API.

Lasso's AI moderator analyzes text patterns to determine whether content was written by an AI model or a human. Your custom thresholds and the four-layer pipeline determine what action to take.

AI-generated content is harder to moderate than human-written abuse. It passes keyword filters, mimics authentic communication, and scales infinitely. Scammers use AI to produce personalized fraud messages. Fake reviews generated by AI damage marketplace integrity. Coordinated AI-written comments manipulate public discourse.

Detection is the first step. Lasso's AI Moderator (Layer 3) evaluates whether AI-generated content is harmful in context. Human moderators (Layer 4) handle edge cases.

Lasso provides an AI-generation probability score per message. The detection pipeline is designed to identify AI-generated text regardless of which model produced it, so enforcement works consistently as new AI models emerge.

Accuracy depends on content length, language, and context. Probability scoring gives you control: set strict thresholds for high-risk content types and permissive thresholds for low-risk ones. The four-layer pipeline handles uncertainty: borderline scores go to human review rather than auto-enforcement. Every human decision retrains the system.