Bynn’s advanced AI text moderation tool detects scam SMS and fraud SMS content in real time, helping businesses protect their users and reputation from malicious text-based threats.
Text message scams are at an all-time high – in 2024 alone, consumers lost around $470 million to scam texts – making robust text moderation and message moderation, as well as text fraud detection, more critical than ever. As fraudsters increasingly target victims through SMS and chat apps with phishing links and deceptive messages, Bynn provides a powerful solution to filter out scams, flag fraudulent content, and keep your platform safe. Our automated models understand language context with human-level comprehension, allowing you to catch harmful or illicit text content before it causes harm.
Scammers send fake text messages as part of phishing scams, sms phishing, smishing scams, and phishing texts to trick users into giving up personal information such as account numbers, bank account details, debit card numbers, Social Security numbers, and other personal information. These messages often impersonate financial institutions, government agencies, or even a family member in distress. Text messages claiming to be from a bank are among the most common types of text scams, and scammers may ask you to verify your bank account or provide personal banking information. Scammers may also send unsolicited text messages about package deliveries or tracking numbers to trick recipients into providing personal information.
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Advanced AI with Human-Level Understanding
Bynn’s text moderation system is powered by cutting-edge AI and natural language processing, enabling human-level understanding of textual content. Unlike simple keyword blockers, our AI analyzes the meaning and context of messages to accurately identify scam or fraud SMS messages as well as other policy-violating content. The system can detect scam messages that request sensitive information such as account numbers, bank details, debit card numbers, or social security numbers. It can also flag suspicious text originating from unknown senders. We employ a dual approach combining deep learning with rule-based pattern matching for optimal accuracy: a trained neural network interprets whole sentences (even with slang or subtle hints), and supplemental rules flag specific keywords, patterns, or formatting often associated with scams (like suspicious URLs or payment requests).
This two-pronged method ensures we catch not only obvious spam, but also cleverly disguised phishing attempts and novel fraud schemes that hackers constantly evolve. The model has been rigorously tested to be robust against adversarial tricks – it recognizes leetspeak, intentional misspellings, symbol replacements, and other tactics scammers use to evade detection. By achieving a nuanced, context-aware understanding of text, Bynn’s AI can moderate content with a precision akin to human reviewers while operating at machine speed and scale.
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Multi-Format Input Support (Text and Images)
Modern scammers will try anything to bypass filters – including hiding text in images. Bynn’s text moderation supports various input formats to ensure nothing slips through the cracks. Our API can analyze plain text strings (such as SMS messages, chat posts, or comments) up to 1,024 characters long per request, across multiple languages. Additionally, we utilize advanced Optical Character Recognition (OCR) to extract and scan text embedded in images – whether it’s a screenshot of a conversation, a meme with overlaid text, or even animated GIFs with captions. Scam SMS and phishing text can target any mobile device or cell phone, and scammers may attempt to hide links to spoofed websites within images. If someone tries to embed a malicious message or hate speech in an image file, Bynn will still detect it. This means you can confidently moderate text content from any source, including user-uploaded images or multimedia, and catch scam messages or policy violations no matter how they are delivered.
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Broad Language Coverage
Language is not a barrier for Bynn’s AI – our text moderation engine supports content in 17+ languages, covering all major global markets and more. This includes English, Spanish, German, French, Italian, Turkish, Polish, Russian, Dutch, Portuguese, Arabic, Japanese, Korean, Mandarin Chinese, Vietnamese, Hindi and more. Such broad language support ensures you can detect scam and fraud SMS in whatever language bad actors might use. Phishing scams and scam SMS target users on mobile phones worldwide, making multilingual detection essential for effective protection. Whether your platform operates in one country or across continents, Bynn’s model is equipped to recognize and understand non-English scam messages, local slang, and context, providing comprehensive protection for your user base worldwide. By moderating multilingual text content, businesses can maintain a consistent level of safety and fraud prevention across all regions and user communities.
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Built-In Child Safety Measures to Protect Personal Information
Protecting children online is a mission we take very seriously. Bynn is committed to making the internet a safer place for kids, which is why we have built-in child safety features included by default. Our text moderation model incorporates specialized databases and keyword lists from leading child-protection organizations to help recognize content related to child sexual abuse or exploitation. For example, we leverage curated lists of illicit keywords and known dangerous URLs (commonly associated with child abuse material) so that any mention of these in a message is immediately flagged for review. These enhancements mean that out-of-the-box, Bynn’s tool will detect and alert on content that might not contain obvious profanity but is nonetheless linked to child exploitation activities. By integrating these safeguards into our service, we empower our customers to better catch and report child sexual abuse content on their platforms.
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We believe strong child safety defenses should be standard in content moderation, and we continuously update our models with the latest data from child safety experts to ensure young users are protected.
Extensive Content Categories Covered
Bynn’s AI doesn’t just stop at scam detection – it’s a comprehensive text moderation solution that can identify a wide range of content risks. Our model is trained across multiple moderation categories, enabling you to automatically filter or flag content based on your community guidelines and safety policies. Here are some of the key content categories our system can detect and classify:
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Sexual Content
Identifies sexually explicit or suggestive text, including references to pornography, sexual acts, or lewd innuendos. This helps keep your platform free from inappropriate adult content or unsolicited sexual advances.
Violence
Flags content containing threats or extreme descriptions of violence. Whether it’s direct threats to an individual or graphic violent language, Bynn’s model will catch it so you can respond appropriately and keep users safe.
Cyberbullying & Harassment
Detects bullying, abusive or harassing language in real time. The AI recognizes insults, targeted name-calling, or slurs directed at individuals or groups, allowing you to intervene and prevent online harassment before it escalates.
Hate Speech
Accurately detects hate speech with a high level of granularity. The system can discern derogatory or dehumanizing remarks based on protected characteristics (race, religion, gender, orientation, etc.) and flag them, even if coded in euphemisms or slight misspellings, helping you uphold zero-tolerance hate speech policies.
Spam
Marks language that is unsolicited or designed to mislead users into visiting external platforms. This includes generic spam messages, repetitive advertising, or any text designed to redirect conversation away from your app (for instance, promoting another site or service unprompted). By catching spam, you reduce clutter and potential scam exposure in your community.
Short Code Detection
Bynn’s model can distinguish between legitimate short codes used by reputable companies and suspicious numbers often used in scam SMS, helping users recognize official communications and avoid fraudulent messages.
Promotions & Solicitations
Identifies promotional or solicitous content that tries to redirect users or requests some action (such as “repost this,” “click here to claim a prize,” or donation requests). While some promotions are harmless, many scam SMS messages fall into this category by urging users to follow a link or provide information. Bynn’s moderation can flag these, allowing you to distinguish legitimate promotions from malicious ones and maintain quality content.
Fraud & Phishing Attempts
Bynn’s model specifically looks for signs of fraud in text, such as messages impersonating trusted entities (banks, websites, executives) or asking for personal/account information under false pretenses. It will flag common phishing tropes – e.g. “Your account is locked, click here to verify” or fake prize winnings – that indicate someone is attempting to deceive or defraud the user. The model can also detect scam SMS that request sensitive details such as bank account information, account numbers, debit card numbers, or social security numbers, helping to prevent financial fraud and identity theft. This category is crucial for catching scam SMS content that might otherwise appear normal at a glance.
Drugs
Flags text that discusses or promotes illegal drug use, the sale of controlled substances, or related activities. Messages about buying or selling drugs, or content glorifying drug use, can be automatically identified so you can take action in line with your platform rules or legal compliance.
Child Exploitation
Recognizes content that mentions or explicitly alludes to sexual exploitation of minors. Any text suggesting grooming, child pornography, or trafficking of minors will be flagged immediately. This works hand-in-hand with our child safety filters to ensure no tolerance for child abuse content in any user-generated text.
Child Threats (Child Safety)
Detects threats of physical harm or violence specifically directed at children or in a school setting. For example, if someone threatens a school attack or violence against a minor, the system will identify it. This specialized detection helps educational platforms or any services used by minors to catch serious threats early and possibly prevent tragedies.
Gibberish & Incomprehensible Text
Marks gibberish content such as keyboard spam, nonsensical strings of characters, or any message that is completely unintelligible. While gibberish might seem harmless, it’s often associated with bots or spammy behavior. Filtering it out can improve content quality and user experience on your platform.
By covering all these categories, Bynn provides 360° text content moderation.
You can configure which categories matter most for your use case and define custom actions (warning, removal, review, etc.) based on the severity. Our multi-category approach means one integration with Bynn’s API gives you a full spectrum of protection – from filtering profanity in chat, to blocking hate speech, to stopping financially motivated fraud in SMS.
Additional Smart Text Filters for Spam Text Messages
On top of the main content categories above, Bynn offers extra text filters that zero in on specific kinds of content or information. These filters add another layer of safety and control, ensuring nothing important is overlooked:
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Profanity Filter
Catches profane words and offensive slurs across supported languages. You can automatically mask or remove bad language to maintain a civil tone in public forums or chats. (We continually update our profanity list, and you can even extend it with custom terms relevant to your community)
PII Detection
Automatically detects personally identifiable information within text, such as email addresses, phone numbers, physical addresses, Social Security numbers, and more. This helps prevent users from inadvertently sharing private data, and it can stop malicious actors from soliciting sensitive info (for example, a scammer asking “What’s your email and credit card number?” in a chat would be flagged immediately). The filter can also detect scam SMS tactics that request bank details, debit card numbers, or Social Security numbers, helping to prevent identity theft and financial fraud.
Custom Keyword Filters
Define your own list of keywords or patterns to filter, directly via the Bynn dashboard or API. These custom rules will be applied on each request in addition to our standard model. This feature is extremely useful for community-specific slangs, branded terms, or emerging threats – you get direct control to flag or allow content based on rules you set, without needing to wait for model updates. You can also set custom rules to flag suspicious text from unknown senders, providing an extra layer of protection against scam SMS.
These additional filters are fully integrated into Bynn’s text moderation service, giving you fine-grained control.
Continuous Improvement and Evolving Defense Against Phishing Scams
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Fraudsters and toxic content creators are always innovating – and so are we. Bynn’s AI moderation platform is constantly learning and improving to stay ahead of new scams and emerging abusive language trends. Our dedicated research team (the Bynn Fraud Lab) monitors the latest fraud schemes, spam techniques, and content trends across the internet, feeding those insights back into our models. Through regular model updates and machine learning feedback loops, Bynn’s tool adapts to novel phishing phrases, new slang or code words used to bypass filters, and changes in language usage over time.
The system is regularly updated to detect new scam SMS tactics, including links to spoofed websites, emerging phishing scams, and suspicious messages from unknown senders. The result is a future-proof moderation system that evolves alongside the threat landscape. You don’t need to worry about tweaking rules daily – our AI automatically refines its detection algorithms based on fresh training data and real-world feedback, ensuring that even previously unseen scam SMS patterns or harassment tactics get caught.
Bynn’s continuous improvement approach means your protection only gets stronger with time, allowing your business to confidently handle ever-changing moderation challenges without constant manual oversight.
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Ideal for Social Media, Chat Apps, and Telecom Providers
Bynn’s text moderation solution is designed to seamlessly integrate with a variety of platforms and industries. If your business involves user-generated text or messaging, Bynn can help you keep it safe and fraud-free. Some of the sectors that benefit most include:
Social Media & Online Communities
Maintain respectful, scam-free communities on forums, social networks, and content platforms. Bynn’s moderation filters out hate speech, harassment, and spam posts automatically, so your human moderators can focus on the toughest edge cases. By catching malicious content (from toxic comments to phony giveaway posts) early, you protect your brand’s image and provide a better user experience.
Chat & Messaging Applications
For messaging apps, in-game chats, and dating apps, real-time scanning of messages is crucial. Bynn’s lightweight API can monitor chats on the fly, blocking suspicious links and scam messages (like those phishing texts asking users to verify accounts or send money) before they reach your users. Our low-latency processing ensures that users experience no delay, while you quietly keep scammers and bots out of your platform. This fosters trust among your user base that your chat environment is secure.
Telecommunications Companies
SMS carriers and mobile network operators can integrate Bynn’s AI to enhance their existing fraud prevention systems. With scam SMS (smishing) on the rise, telecom providers can use Bynn to scan outgoing or incoming messages for known scam patterns, malicious URLs, and fraud keywords. Bynn can specifically detect scam SMS and phishing scams targeting mobile phones and mobile devices, including those that attempt to steal sensitive information such as bank account or debit card numbers. For example, messages impersonating banks or containing fake prize links can be flagged or blocked, protecting subscribers from fraud before any damage is done. Bynn’s solution helps carriers and SMS gateway services comply with messaging regulations and build customer loyalty by drastically reducing spam and scam texts on their networks.
No matter the platform – be it a large social network, a niche community forum, a popular group chat app, or a telecom SMS service – Bynn’s flexible text moderation fits right in. Our solution scales to millions of messages and can be customized to the context (for instance, adjusting strictness for a kids’ app vs. an adult discussion forum). By deploying Bynn, companies in these sectors can save countless hours in manual review, avoid the fallout of unchecked scams or toxic content, and create a safer digital environment for all users.
Ready to Get Started with Bynn Text Moderation?
Safeguarding your platform from scam SMS, fraud attempts, and harmful content is easier than ever with Bynn’s AI-driven text moderation. Ready to get started? Bynn’s solution offers fast integration options – whether through our straightforward API or no-code dashboard – so you can start catching fraud and filtering text content in no time. We provide detailed documentation and developer support to help you set up custom rules or integrate with your existing systems. Plus, our intuitive dashboard lets you review flagged messages, adjust settings, and gain insights from moderation analytics.