docs: Cross-language threat detection capabilities

[NikitaVr]

Knowledge Update: Cross-language threat detection capabilities

This PR was automatically generated from a knowledge base update.

Changes

• Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
• Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.

Knowledge Entry

Topic: Cross-language threat detection capabilities
Added by: maksym@chainpatrol.io
Date: 2026-07-20

Content:

ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.

Original Message

please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.

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Auto-generated by the ChainPatrol Knowledge Agent

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Note

Low Risk
Documentation-only changes with no runtime, security, or data-handling impact.

Overview
Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.

On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.

On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.

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