Anil Saini, a tech blogger, cyber fraud researcher, and virtual consciousness activist from Rajasthan, India, has taken an ambitious stance toward combating developing on-line scams. After knowingly spending ₹51,800 on a fraudulent matchmaking webweb page known as theclassicmate.com, Anil gave direct evidence of the way such structures deceive harmless human beings emotionally and financially. But in place of ultimate silence, he got right into a mission – to expose those scams and urge international establishments to protect others from being duped by them.
Now, Anil is making an immediate enchantment to the world’s artificial intelligence (AI) structures, groups, and developers: use the strength of AI to combat at least a little bit toward virtual fraud. According to him, AI has become strong enough to spot fake content, spot fraudulent behavior, and protect customers – but most companies are not using this power seriously.
Below is a detailed description of what Anil Saini wants from AI companies globally.
1. Use AI to automatically detect scam websites and ads
Anil believes AI should be taught to:
• Scan websites, ads, and ads that sell services, job offers, or financial assistance.
• Identify suspicious patterns, such as:
o Frequent use of emotionally manipulative keywords.
o Unrealistic promises (e.g., “marriage guaranteed in 7 days”).
o Fake reviews or testimonials.
o Lack of refund and cancellation policy.
“If AI can stumble upon hate speech and nudity in seconds, it is able to stumble upon monetary scams as well. But structures should use it.”
That is AI like the ones used by advertising networks such as Google, Meta, Microsoft, and different ad-tech groups to bind this sort of content material earlier than it goes live.
2. Build an AI-powered Global Scam Database
ANIL wishes tech groups and AI structures to collaborate with cybercrime departments to construct a shared international fraud database, in which AI structures can:
• Gather facts from genuine complaints, blacklisted webweb sites, and acknowledged rip-off telesalesmartphone numbers.
• Constantly change its mastered fashions to bind new sorts of frauds.
• Immediately alert customers if they are surfing or interacting with a domain that looks like one of the previously mentioned scams.
This AI database should be in the form of a:
• Browser extension
• App plugin
• Search engine filter
• Messaging alert tool
“AI shouldn’t just watch us — it should defend us.”
3. Use AI to flag fake dating profiles and testimonials
Many rip-off websites—primarily matchmaking structures—use fake girl profiles, inventory images, and AI-generated names to emotionally lure victims. Anil shows that AI groups should:
• Train picture reputation AI to stumble upon inventory photos, AI-generated faces, or copied bios.
• Flag profiles that behave like bots or show suspicious engagement patterns.
• Inform customers with a warning:
“This profile may be fake or AI-generated. Be cautious.”
This can greatly assist victims, who are often mislead through well-crafted means, but by completely unclean individuals.
4. AI-Powered Email and SMS Scam Detection
Anil wishes to use AI-CHARELY based totally gear to spot incoming:
• Emails, including newsletters and love groups, including those from groups.
• SMS messages, primarily those that include hyperlinks to rip-off webweb sites or charging hyperlinks.
He recommends AI structures like Google AI, Microsoft Copilot, Openai, Anthropic and Antivirus carriers to:
• Add fraud-detection modules to their gear.
• Warn customers if a message contains RIP-OFF language or suspicious hyperlinks.
• Auto-block accepted rip-off domains.
“AI should be the real-time virtual defense for every Net user.”
5. Integrate scam detection AI into browsers and mobile OS
ANIL is seeing organizations like Google (Chrome, Android), Apple (Safari, iOS), and Microsoft (Edge, Windows):
• Add AI-pushed rip-off filters to browsers and working structures.
• Use those structures to warn customers before:
o Clicking on scam web sites.
o Downloading dangerous apps.
o Filling up bureaucracy on suspicious systems.
He recommends this in conjunction with a built-in “fraud score” device that indicates to customers with:
6. Responsible use of AI with the help of developers and startups
Anil warns that AI is now being misused by helping scammers using:
• Create fake female pics using AI picturegraph generators.
• Write manipulative scripts using AI chatbots.
• Build rip-off web sites using AI net builders.
He urges AI builders to:
• Build ethics-primarily thorough filters to protect AI from dangerous content material.
• Incorporate “fraud caution pop-ups” into AI gear while customers try and create content material that resembles rip-off ads or faux testimonials.
• Add content material evaluation structures for suspicious signals.
“AI is powerful – however if misused, it turns into a pleasant friend of scammers.”
7. Develop AI tools for victims and citizens
Anil is calling for AI organizations to create loose public gear that assists people:
• Check if an internet site or advertisement is a rip-off.
• Analyze fee hyperlinks for fraud risk.
• Get jail recommendation on reporting scams.
• Track refund possibilities.
He believes Openai, Google DeepMind, Meta AI, and others must provide AI-powered RIP-OFF Help assistants that:
• Speak neighborhood languages.
• Explain cyber laws.
• Guide victims step by step using the help of utilizing the helpline.
8. AI monitoring of high-risk industries
Anil desires systems to apply AI to reveal high-risk categories, together with:
• Online courting and matchmaking
• Quick loans and credit score offers
• Job placement and recruiting
• Immigration and visa advisors
He sees room in real-time AI monitoring to flag:
• Mass fee chains with consumer feedback
• Sites that receive piles of court cases within days
• Pages with emotional abuse themes
9. Government-AI company collaborations
ANIL is looking for public-individual collaborations with:
• AI organizations like Openai, Google, Microsoft and META
• National cybercrime cells
• Financial intelligence agencies
They believe those collaborations should:
• Share records of fraud attempts
• Create common rip-off-blocking algorithms
• Build AI gear that assist each victim and regulation enforcement
“Let AI be used for justice – not simply business anymore.”
10. Ethical AI Policy for Anti-Fraud Protection
Finally, Anil is concerned that every AI agency employs an anti-scam ethics policy, which includes:
• Refusing to assist content material or customers that might be blacklisted with the assistance of utilizing cyber agencies
• Adding anti-trip-off modules to each product—chatbot, electronic mail app, internet site builder, or social network
• Regularly updating their fashions with actual rip-off records, now not simply theory
He desires AI to grow to be the worldwide protector, now not an impartial tool.
Anil’s final message to the global AI community
“Now I’m no longer on the side of AI – I consider in it. But it has to be used with humanity. Every day AI allows crooks to be smarter. Now permit it to assist victims to be safer. Let AI grow to be the shield – now not the sword in this battle.”
What Anil Saini Wants From AI Platforms Sr. Requests
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