Trusted Codes

Blog

Perspectives on trust and fraud

Analysis and commentary on social engineering, impersonation fraud, and how human verification changes the game.

ProductOctober 20264 min read

Isn't this just an authenticator app? Same algorithm, different job

Trusted Codes and Google Authenticator use the same proven algorithm. One protects a login, the other protects a conversation between people. Six differences, and the honest answer to 'why do the words not change every 30 seconds?'

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GovernanceOctober 20266 min read

Every control passed. The money is still gone.

Governance can work perfectly and still send the money to a criminal. Rules check that a process was followed, not that the person who started it was real. Why identity verification must become a control objective of its own.

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ResearchOctober 20265 min read

Impersonation fraud in numbers: what the 2025 reports show

$3 billion lost to fake business emails, $7.7 billion lost by people over 60, and listeners who miss one fake voice in four. The figures from the FBI, the FTC, UK Finance and independent research, with sources.

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FounderOctober 20266 min read

AI made this fraud possible. Our answer to it uses no AI.

A Sora video, a cloned voice and a lost €100,000 led to Trusted Codes. Why the check at its core is deliberately deterministic, and why I still built it with AI.

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Scam alertSeptember 20264 min read

Vote for Klara: How a WhatsApp poll hands your account to criminals

A WhatsApp scam spreads through real accounts of people you know. The same pattern cost Intesa Sanpaolo's Fideuram EUR 95 million. Why sender checks fail and what helps.

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PerspectiveJuly 20267 min read

Apple just confirmed what scam fighters have known for years: the weak point is human

Apple's new Trust Insights framework in iOS 27 detects when users are being coached by scammers. What it does, where its limits are, and why human verification remains the missing piece.

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