惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

D
DataBreaches.Net
F
Fortinet All Blogs
D
Docker
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
WordPress大学
WordPress大学
罗磊的独立博客
Y
Y Combinator Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
J
Java Code Geeks
T
The Blog of Author Tim Ferriss
U
Unit 42
N
Netflix TechBlog - Medium
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
V2EX
云风的 BLOG
云风的 BLOG
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
T
Tailwind CSS Blog
Hugging Face - Blog
Hugging Face - Blog
Stack Overflow Blog
Stack Overflow Blog
爱范儿
爱范儿
酷 壳 – CoolShell
酷 壳 – CoolShell
P
Proofpoint News Feed
G
Google Developers Blog
H
Help Net Security

PYMNTS.com

Treasury Calls for Programmable Financial Enforcement Across Crypto DeepSeek Seeks $20 Billion Valuation as Tech Giants Weigh Investment Google Accelerates Agentic AI Shift With New Enterprise Platform OpenAI Begins Briefing Governments on Cybersecurity Capabilities DeFi Security Suffers New Blow With $3 Million Volo Exploit Uninvited Users Access Anthropic’s Mythos AI Model Block and Uber Expand Partnership Across Several Global Markets OpenAI Pledges $1.5 Billion to PE Enterprise AI Project Podcast: Inside the $9 Billion DeFi Hack That’s Shaking Crypto’s Foundations Synchrony CFO Flags Momentum in Spending and Credit Banks Risk Slowing the Emerging Middle Market Firms Driving Growth Paysafe Expands Digital Wallet Availability Across 18 European Markets Bad Data Can Break Good AI in Payments 50% More Digital Shopping Days Put Parents at the Center of Retail’s Shift 65% Call Insurance Essential. Why Most Spending Isn’t So Clear-Cut Amazon Recasts Marketplace Fraud as a Broader Trust Problem Capital One’s Q1 Shifts Attention From Spending to Strategy Lawmakers Question JetBlue About Surveillance Pricing Allegations Small Businesses Stop Chasing Amazon on Delivery Speed Google Embeds AI Into Chrome for 3.5 Billion Users Adobe Plans Outcome-Based Pricing for New AI Product Suite UnitedHealth Spends $1.5 Billion on AI and Wants Double Back MiCA Forces Crypto Firms to Get Licensed or Get Out Prediction Market Kalshi Targets Crypto Perpetuals New York Sues Coinbase and Gemini Over Prediction Markets Amazon and Anthropic Deepen Ties With Investment and Hardware Pact Agentic B2B Is Here. Are Your Contracts and Invoices Ready? Apple Hardware Leader John Ternus to Succeed CEO Tim Cook The Web Is Gaslighting AI Agents and Nobody Can Tell OCC Enters the Interchange Fight and Raises the Stakes
Banks Are Building the Trust Layer AI Can’t Break
PYMNTS · 2026-05-07 · via PYMNTS.com

 | 

digital identity

Highlights

AI agents and automated bots are breaking identity verification systems built for a simpler internet, forcing banks and payment firms to rethink trust.

Firms that run lean identity programs are paying for it: nearly half reported fraud losses tied to adversarial bots, and 43% onboarded suppliers that later proved untrustworthy.

The fix is a networked “ID supply chain” that distributes verification across entire ecosystems. The race to build it is underway.

Banks, payment firms and digital platforms are rebuilding identity verification around what many executives now describe as “ID supply chains,” a networked approach to trust that distributes identity checks, risk signals and verification data across multiple participants rather than locking them inside a single institution.

The shift reflects mounting concern that traditional know your customer (KYC) and know your business (KYB) systems were engineered for an earlier internet, one where customers, businesses and transactions stayed within relatively contained environments. That architecture is buckling as AI agents, automated bots and embedded financial services move freely across ecosystems spanning marketplaces, banks, payment processors and third-party platforms.

For years, digital identity verification operated as a relatively narrow checkpoint conducted during onboarding or account opening. Financial institutions and merchants largely treated KYC and KYB as perimeter controls designed to confirm that a customer or business was legitimate before access was granted. Once verification occurred, identity systems often functioned in separate silos tied to payments, fraud monitoring, lending or vendor management.

That model assumed transactions remained within reasonably stable environments controlled by identifiable users. Artificial intelligence agents, automated commerce flows and interconnected digital platforms have altered those assumptions.

As noted in a report by PYMNTS Intelligence and Trulioo, identity risk has become shared and systemic. Companies now use digital identity verification across an average of 4.4 workflows, extending well beyond customer onboarding into login systems, online transactions, fraud monitoring, lending and vendor onboarding.

That expansion is reshaping identity verification into an operational layer that stretches across entire ecosystems (hence the supply chain analogy).

Advertisement: Scroll to Continue

Recent PYMNTS coverage has tracked similar pressures as financial institutions and merchants prepare for agentic commerce and AI-driven transaction activity. PYMNTS recently reported on payment networks positioning tokenization, credentialing and fraud orchestration systems for autonomous commerce environments where AI agents may eventually initiate transactions on behalf of users. Those developments increasingly require identity verification systems capable of operating across interconnected platforms rather than inside isolated databases.

Identity and Shared Infrastructure

KYC, KYB and emerging know your agent controls are beginning to operate as connected layers spanning customer access, transactions, suppliers and counterparties.

Nearly 8 in 10 firms surveyed use digital verification during customer login and access management, while roughly three-quarters apply it to online transactions. More than 61% also use verification for vendor onboarding.  Identity failures no longer remain isolated. A misclassification or weak control in one workflow can ripple into fraud losses, supplier risk, onboarding friction and downstream trust failures across multiple participants. Companies using identity verification in only three or four workflows reported greater pressure from bots and adversarial agents, alongside higher rates of false positives, onboarding abandonment and customer friction.

In this supply chain construct, identity validation becomes distributed among internal teams, external verification providers, consortium data networks and risk-sharing partners.  Broader identity coverage appears to push firms toward shared governance models.

The differences were particularly sharp in KYB processes.

Among firms with lower-touchpoint KYB programs, 43.3% reported onboarding suppliers that later proved untrustworthy, compared with 28.8% among firms operating broader identity coverage models.

Lower-density identity programs also produced materially higher false-positive rates.

Loan applications produced the highest concentration of know your agent threats, with 63.2% of firms identifying KYA-related risks in that workflow. Nearly half of firms reported incidents or losses tied to adversarial bots and agents in loan application environments.