Observed Signal · Oct 13, 2026 · Market Signal · Source: Wise · Impact: 2/5
Wise calling you? Check if it’s real in seconds
Impersonation scams are getting more common — and more convincing¹². Scammers may call you directly pretending to be our fraud team, and urge you to move...
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Recent verified developments and strategic activity across this market segment.
Beware: Scammers Impersonate TechCrunch to Steal Data!
TechCrunch warns that an increasing number of scammers are impersonating its reporters, editors and events staff to contact companies and extract sensitive business information. Fraudsters craft convincing media inquiries, sometimes using email address formats that mimic TechCrunch conventions and conducting phone interviews to dig for proprietary details. Former Yahoo colleagues say the activity aligns with a persistent threat actor that has used TechCrunch impersonation for account takeover and data theft, targeting cryptocurrency, cloud and other tech firms. TechCrunch published verification guidance — check its staff page and alternate contact methods — and a list of recently observed spoofed domains.
On-Device Fraud: How Mobile Malware Bypasses Fraud Detection
A few months ago, a friend told me about a relative who received a phone call from someone claiming to be from his bank. The “bank employee” walked him through a "security check," and installed what he thought was a banking app update. Twenty...
AI Beats Scammers by 'Playing Dumb'
The article describes how conversational AI and on-device detection tools are being used to disrupt phone-based social-engineering scams by exploiting scammers' psychological models. It profiles 'Daisy,' an O2-built conversational AI persona that wastes scammers' time by posing as an elderly target, and outlines platform-level measures such as Apple iOS 26's call screening and Google’s on-device AI scam detection for Android. The piece highlights a broader shift from static rule-based fraud models toward adaptive AI systems (including Mastercard’s Consumer Fraud Risk) that score transactions and monitor conversational cues in real time. It also notes limits: many calls originate from trafficked operators in organized crime syndicates, and technology alone cannot address governance, labor and enforcement aspects. The author argues that deliberate friction — a pause that restores user deliberation — is a valuable UX design principle in fraud prevention.
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