<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Identity-Verification on MyVar.dev</title><link>https://gibbok.github.io/myvar/tags/identity-verification/</link><description>Recent content in Identity-Verification on MyVar.dev</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sun, 05 Jul 2026 09:09:37 +0000</lastBuildDate><atom:link href="https://gibbok.github.io/myvar/tags/identity-verification/index.xml" rel="self" type="application/rss+xml"/><item><title>Proof of Human A Novel Identity Primitive for Verifying Unique Humans Online</title><link>https://gibbok.github.io/myvar/proof-of-human/proof-of-human-a-novel-identity-primitive-for-verifying-unique-humans-online/</link><pubDate>Sun, 05 Jul 2026 09:09:37 +0000</pubDate><guid>https://gibbok.github.io/myvar/proof-of-human/proof-of-human-a-novel-identity-primitive-for-verifying-unique-humans-online/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Proof of Human is a novel identity primitive designed to verify a user as a real and unique human on the internet without revealing their personal identity. This capability addresses the increasing difficulty of distinguishing humans from advanced AI agents and automated bots, which often exploit traditional authentication methods.&lt;/p&gt;
&lt;h2 id="key-insights"&gt;Key Insights&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Problem Shift:&lt;/strong&gt; Traditional defenses (IP limits, CAPTCHA, phone verification, device fingerprinting) and authentication systems (SSO, passkeys) fail because they rely on easily replicable proxies for a person or device. They solve &lt;strong&gt;one-to-one matching&lt;/strong&gt; (is this user who they claim to be?), but not &lt;strong&gt;one-to-many matching&lt;/strong&gt; (is this user unique among all others?).&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Uniqueness at Scale:&lt;/strong&gt; Verifying a user as unique across billions of potential candidates requires biometric methods with extremely low error rates (e.g., 1 in 100 billion false matches).&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Privacy-Preserving Uniqueness:&lt;/strong&gt; A robust system must verify uniqueness without ever identifying the user or storing their raw biometric data.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Durable Credentials:&lt;/strong&gt; Proof of Human credentials must persist across device loss and app reinstalls, anchoring to an abstract &amp;ldquo;account&amp;rdquo; rather than a single device.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Agent Delegation:&lt;/strong&gt; The system must support human users delegating actions to AI agents without treating the agents as adversarial bots.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="technical-details"&gt;Technical Details&lt;/h2&gt;
&lt;p&gt;A functional Proof-of-Human system requires five core pillars: Uniqueness, Anonymity, Recovery, Verification, and Delegation.&lt;/p&gt;</description></item></channel></rss>