Proof of Human
Nikita
@nikita
· 1
+5.1%
since Aug 27
The idea
I believe cheap AI-generated fakes will overwhelm the channels we assumed were human, email, calls, texts, signups, until proving you're a real person becomes a paid checkpoint everywhere. The core holding is identity and fraud data tollbooths that banks and enterprises already pay for verification, surrounded by bot defense at the network edge, login and access trust, and a smaller slice in phone and message verification.
What it owns
- Banks and businesses pay per verification check, and AI-generated fake applicants increase those checks rather than reduce them. · Fair Isaac CorporationIt charges banks per fraud score, and AI-generated fake applicants mean more checks per account, multiplying its fees across the financial system., TransUnionIt gets paid each time a business verifies a new signup is real, and synthetic applicants push that verification volume higher., EquifaxIt owns employment and income records machines cannot fake, exactly what companies check against when spotting synthetic applicants., MastercardIt charges merchants and banks for fraud detection and identity services layered atop every transaction, and AI fraud drives higher adoption of those add-ons., RELX PLCIts LexisNexis Risk unit sells person-verification checks that banks and insurers run before opening accounts, benefiting as AI fraud raises query volumes., VisaIt charges extra for fraud-catching tools and identity services layered onto its payment network, winning higher fees as merchants and banks pay to catch fakes., NICE LtdIts Actimize software spots fraudulent behavior in real time across banks, a direct play on the AI-fraud arms race as institutions raise security budgets.40%
- These companies sit between users and websites to decide which traffic is human, the natural place to charge for proof of humanity before traffic reaches its destination. · CloudflareIt sits in front of much of the web deciding which traffic is human, positioning it to charge for proof of humanity at the network edge., Akamai TechnologiesIt already sells bot defense to large enterprises and is replacing shrinking delivery revenue with growing security revenue., F5 IncIts software polices enterprise app traffic and distinguishes bots from people, while AI-driven attacks push customers toward its security products., FastlyIt is the smaller, more leveraged edge-security bet, with significant upside if bot and security products gain traction with customers.21%
- When email and voice become easy to fake, companies verify every login and credential instead of trusting the message itself. · OktaIt verifies every login claim across a company's applications, making stronger login checks a necessity rather than an option as account takeover attacks intensify., ZscalerIt sells the zero-trust model where nothing reaches the network without verification, the architecture enterprises adopt once they stop trusting incoming traffic., SailPointIt answers what an identity is allowed to access, becoming urgent as companies govern the fast-multiplying AI agent accounts inside their networks.13%
- Phone numbers and text verification directly counter call and message spam, the channels most vulnerable to AI-powered fakes. · TwilioIt carries most verification texts and sells lookups that score whether phone numbers belong to real people, earning fees on both sides of the verification process., Bandwidth IncIt runs phone infrastructure and caller-verification standards that prevent spoofing, growing more valuable as AI voice cloning makes fake calls cheap., Mitek SystemsIt provides the liveness-and-face verification step for mobile signup, directly countering deepfaked documents and synthetic identity documents.11%
- Specialized biometric and identity verification providers betting the market moves beyond legacy credit bureau models. · It specializes in biometric verification as a pure play on identity moving beyond traditional credit bureau models., It provides biometric identity verification at scale, betting that verification shifts away from legacy credit bureau infrastructure.8%
- Large security platforms benefit from the same arms race with steadier business models suited to long-term compound growth. · Palo Alto NetworksIt sells security across every layer of the AI-versus-AI conflict without depending on any single product, providing ballast as security budgets grow., CrowdStrikeIt sells AI that detects AI-driven attacks, with its agent running on the machines where those attacks land, betting defenders will pay for that capability.7%