Meta intensifies the fight against scam ads: what's changing in 2026

On March 11, 2026, Meta announced new steps in its fight against scams: the launch of additional tools in Facebook, Messenger, and WhatsApp, investments in AI-powered fraud detection systems, and expanded cooperation with other companies and law enforcement agencies.

The company emphasizes that fraudulent schemes are becoming increasingly sophisticated, so the approach to combating them is also evolving — from simply blocking accounts to comprehensive work at the level of technology, partnerships, and law enforcement.

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The scale of the fight against scams

Meta shared fresh statistics for 2025:

• over 159 million scam ads removed;
• 10.9 million accounts on Facebook and Instagram linked to scam centers blocked;
• tens of thousands of additional accounts removed as part of joint operations with law enforcement.

In one case, Meta together with international law enforcement disconnected over 150,000 accounts linked to scam center networks and facilitated 21 arrests in Thailand. This demonstrates that the fight against scams is reaching an industrial scale.

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Using AI to combat celeb bait and impersonation

Meta is actively investing in AI systems that analyze not only individual elements of an ad, but the full set of signals:

• ad copy,
• images,
• context,
• connections to brands or public figures.

This approach enables faster detection of complex fraudulent patterns.

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AI helps identify cases where scammers impersonate celebrities or brands, use fake profiles, or create them using false descriptions or bios.

The system analyzes significantly more context than traditional moderation methods, which increases detection accuracy.

Meta also uses AI to identify websites that imitate well-known brands, pages that look like legitimate resources, and redirects to fraudulent landing pages. This allows for the detection of a broader range of deceptive scenarios and protects thousands of brands from impersonation.

New user protection tools

In addition to moderation, Meta is launching new features that help users identify risks on their own.

Facebook is testing alerts for suspicious accounts — for example, if there are few mutual friends or if the profile's country differs, the user receives a warning before accepting or declining a request.

Meta is also adding warnings in WhatsApp when attempts are made to connect a device to an account, use QR codes, or enter a verification code.

The system reports where the request is coming from and warns that it may be a scam.

In Messenger, the fraud detection system is being expanded:

• identification of suspicious scenarios (e.g., "job offers" or "investments");
• the ability to check a chat via AI;
• recommendations: block or report.

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Advertiser verification

Meta is also expanding its advertiser verification program.

The company's goal is for 90% of ad revenue to come from verified advertisers by the end of 2026 (currently around 70%).

Verification applies to:

• high-risk categories,
• advertisers with a history of violations,
• certain geographies.

This increases transparency and makes it harder to disguise fraudulent campaigns.

Industry and law enforcement cooperation

Meta signed the Industry Accord Against Online Scams and Fraud alongside other major companies, including: Google, Microsoft, OpenAI, Amazon, LinkedIn, Pinterest, and Target.

The company also backed the UN's initiative on a global partnership against fraud — the fight against scams is moving into a cross-industry collaboration format.

Operations against scam networks

Meta is actively cooperating with law enforcement agencies to combat organized schemes.

Recent cases include:

• removal of over 15,000 accounts linked to romance scams;
• operations in Nigeria resulting in arrests of scam center participants;
• dismantling of networks involved in crypto scams.

The trend is confirmed: the fight against scams is extending beyond online platforms.

Educational campaigns

Meta is also launching awareness campaigns:

• partnerships with governments and banks;
• educational campaigns in Asia, India, and Brazil;
• content on how to recognize fraud.

The goal is to reduce the number of victims before they ever encounter a scam.

Conclusion

Meta is transitioning from reactive moderation to a comprehensive anti-scam system that includes:

• AI analysis of content and context;
• user-facing tools;
• advertiser verification;
• cooperation with other companies;
• engagement with law enforcement agencies.

The company explicitly states: fraudulent schemes are becoming more sophisticated, and combating them requires collective action across the entire industry.

What this means for advertisers

Meta's updates are not just about new security tools — they represent a shift in the overall approach to ad moderation and analysis.

Meta is increasingly leveraging AI that analyzes not only creatives, but context as well: copy, brand connections, account behavior, and even funnel structure. This means that violation detection is moving from simple image analysis to semantic understanding of advertising.

For advertisers, this means:

• manipulative approaches are harder to execute;
• impersonation schemes and celeb bait are detected faster;
• the effectiveness of basic moderation bypass techniques is declining;
• fewer opportunities for gray-area schemes.

Meta is placing particular emphasis on fake news landing pages, domain spoofing, and cloaking.

Given the new AI tools, any gray-area approaches are becoming riskier and less sustainable.

Meta also plans to bring the share of verified advertisers to 90% of ad revenue. This means:

• more checks and KYC requirements;
• higher standards for accounts;
• greater trust extended to transparent advertisers.

Meta's cooperation with other companies and law enforcement shows that the fight against scams is extending beyond a single platform. This implies potential data sharing between platforms and synchronized bans — making large-scale schemes increasingly risky.

The key trend — Meta is shifting from reactive moderation to proactive scheme detection, and this is changing the rules of the game:

• not just the creative, but the entire logic of the ad campaign matters;
• the value of transparent and stable approaches is growing;
• those who adapt to the platform's new requirements fastest will come out ahead.

In short: the era of relatively simple gray-area schemes is gradually coming to an end, and competition is shifting toward more sophisticated or more transparent operating models.

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