New research shows phishing and\u00a0fraud\u00a0are shifting away from obvious impersonation toward search results, paid ads, business workflows, and marketplaces<\/p>\n
Bolster AI, a leading brand protection platform, revealed a fundamental shift in how phishing and online scams are created, distributed, and monetized in its\u00a02026\u00a0Fraud\u00a0Trends and Predictions\u00a0report.<\/p>\n
According to the report, today\u2019s most effective scams are no longer isolated messages or one-off impersonations. Instead, attackers are building full\u00a0fraud\u00a0lifecycles that guide victims from discovery to conversion across multiple trusted systems.<\/p>\n
\u201cAttackers are designing scams that look and feel real from start to finish,\u201d said Rod Schultz, CEO of Bolster AI. \u201cThey are abusing high trust, every day digital activities to scam people, including search results, paid ads, document approvals, and login prompts. Every step is intentional, and every step is optimized to get someone to act.\u201d<\/p>\n
From One-Off Scams to Repeatable Systems<\/p>\n
Bolster\u2019s research team tracked more than 11.9 million malicious domains in 2025 tied to phishing,\u00a0fraud, and misinformation campaigns. The volume reflects how quickly attackers can now stand up, test, and rotate infrastructure once they identify a distribution model that works.<\/p>\n
Advances in automation and generative AI have dramatically lowered the cost and time required to launch these operations. As a result, attackers are investing in channels traditionally associated with legitimate marketing, including SEO and paid advertising, because the payoff outweighs the cost.<\/p>\n
The report highlights several areas where this shift is most visible:<\/p>\n
Search results\u00a0are being used to capture users early in the decision process by publishing realistic informational pages that outrank official sources.<\/p>\n
Paid advertisements\u00a0are increasingly used to intercept users at moments of intent, such as logging in, verifying accounts, or resolving issues.<\/p>\n
Business workflows, including document signing and approval requests, have become reliable entry points.<\/p>\n
Online marketplaces\u00a0are being leveraged for rapid monetization, with counterfeit listings and digital goods scams benefiting from built-in trust signals like reviews and familiar checkout flows.<\/p>\n
Targeted sectors\u00a0reflect where trust already exists at scale, including tech platforms, government services, and financial institutions.<\/p>\n
\u201cWhat we\u2019re seeing is closer to a buyer\u2019s journey than a traditional scam,\u201d Schultz said. \u201cAttackers are planning ahead, choosing channels deliberately, and reusing what converts.\u201d<\/p>\n
What This Means for 2026<\/p>\n
The report concludes that scams in 2026 will continue to evolve as engineered systems rather than isolated attacks. Campaigns will be timed around predictable events, scaled quickly, and distributed through channels where legitimacy is assumed.<\/p>\n
\u201cDefending against this kind of\u00a0fraud\u00a0requires understanding how these operations are built,\u201d Schultz said. \u201cIf security teams only look for suspicious messages reaching their customers at the end of the chain, they\u2019re already too late.\u201dThe post Bolster AI Report: Scammers Shift to Sophisticated Impersonation Systems first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
New research shows phishing and\u00a0fraud\u00a0are shifting away from obvious impersonation toward search results, paid ads, business workflows, and marketplaces Bolster AI, a leading brand protection platform, revealed a fundamental shift in how phishing and online scams are created, distributed, and monetized in its\u00a02026\u00a0Fraud\u00a0Trends and Predictions\u00a0report. According to the report, today\u2019s…<\/p>\n
The post Bolster AI Report: Scammers Shift to Sophisticated Impersonation Systems<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-862","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n