Why Banks’ $34B Identity Blindspot Should Make Crypto Firms Reassess KYC
Banks undercount identity risk—$34B. Crypto exchanges must overhaul KYC to prevent fraud, loss, and regulatory fallout in 2026.
Hook: If banks are losing $34B a year from identity failures, crypto firms can't afford complacency
Crypto exchanges, custodians and onramps face accelerated regulatory scrutiny, smarter fraud rings, and AI-driven synthetic identities in 2026. A PYMNTS and Trulioo analysis published in January 2026 estimates banks overestimate their identity defenses, producing an annual identity loss gap of $34 billion. That finding is a red flag for crypto platforms with even higher attack surface and weaker legacy controls. This article translates that $34B insight into a concrete, prioritized action plan so exchanges and custodians can prevent similar losses, reduce AML risk, and preserve customer trust.
Why the $34B finding matters for crypto now
The core lesson from the PYMNTS Trulioo research is simple and urgent: legacy "good enough" identity checks break in the face of modern attack techniques. For crypto firms, the consequences are magnified by:
- Higher velocity and irreversibility of transfers
- Cross-jurisdictional user bases with inconsistent ID ecosystems
- Incentives for fraudsters to launder large sums through digital-native rails
- Heightened regulatory attention from FinCEN, FATF, EU AMLA and national regulators
From late 2025 into 2026 we have seen an uptick in AI-enabled synthetic identity attacks, deepfake-enabled KYC circumvention, and coordinated credential stuffing that bypass traditional device and IP checks. A proactive identity strategy is no longer optional; it is a core risk management capability.
Principles for an identity-first KYC posture
Before jumping into tools, adopt four operational principles that will shape your program.
- Continuous and risk-based verification Instead of a one-time KYC snapshot, verify identity over the customer lifecycle.
- Layered signals, not single-point trust Combine document checks, biometrics, device intelligence, behavioral analytics and third-party attestations.
- Privacy-preserving minimalism Collect what you need, store what you must, and prioritize verifiable credentials over raw PII when possible.
- Operationalize outcomes, not scores Treat identity signals as inputs to clear risk actions and workflows, with SLAs for investigations and escalations.
Action plan: 30/90/180 day roadmap
Below is a practical timeline to convert the $34B lesson into operational resilience. Each phase includes measurable deliverables.
30 days: Rapid diagnostic and containment
- Run a maturity assessment of your identity stack mapping controls to losses, ATOs, and SARs in the last 24 months.
- Calculate baseline KPIs: fraud loss by channel, account takeover rate, false positive rate in onboarding, SAR conversion rate.
- Implement immediate hardening: strict device-fingerprint checks for high-risk flows, block known-compromised IPs, enforce MFA for withdrawals.
- Bring stakeholder alignment: compliance, fraud ops, engineering and product must sign a joint remediation plan.
90 days: Layered verification and process redesign
- Deploy layered identity signals. Combine at minimum: document verification with liveness checks, device intelligence, behavioral biometrics, and sanctions screening.
- Introduce risk-based onboarding. Low-risk users receive streamlined flows, while high-risk users undergo enhanced due diligence (EDD).
- Standardize identity evidence storage: timestamped verification artifacts, hashes of documents, and cryptographic attestations where possible.
- Establish a fraud runbook: automated hold thresholds, human review SLAs, fast path for reclaim and remediation.
180 days: Continuous KYC and ecosystem integration
- Implement continuous identity monitoring. Evaluate changes in device patterns, transaction behavior, and proof-of-life signals to trigger re-verification.
- Integrate KYT (Know Your Transaction) across rails and layer on-chain heuristics to connect identity signals to token flows.
- Join or create data-sharing consortiums for shared watchlists and device reputation while complying with privacy rules.
- Evaluate advanced identity primitives: decentralized identifiers (DIDs), verifiable credentials, and selective disclosure wallets for long-term friction reduction.
Technical controls and vendor checklist
Choosing vendors and implementing controls requires technical rigor. Aim for defense-in-depth and validate vendor claims empirically.
Core control stack
- Document verification with liveness Prefer vendors that demonstrate anti-spoofing rates against deepfakes and replay attacks from independent third parties.
- Biometric verification Use multimodal checks where practical and monitor for biometric drift. Balance FRR/FAR tradeoffs to minimize both fraud and customer dropout.
- Device and network intelligence Fingerprinting, cryptographic device attestations, and IP anomaly detection to detect routing-through-Tor or bot farms.
- Behavioral analytics Real-time models for mouse/tap dynamics, typing cadence, and transaction patterns to detect account takeover and mule recruitment.
- Sanctions and PEP screening Continuous screening tied to transaction risk thresholds, with global coverage and frequent data updates.
- KYT integration Chain analytics to link wallet addresses to high-risk entities, mixers, sanctioned protocols, and stolen funds repositories.
Vendor due diligence checklist
- Ask for independent test results and red-team reports that show adversarial resistance.
- Validate ML model retraining cadence and attack simulation practices.
- Confirm data retention, encryption, and breach notification SLAs.
- Require transparency on data sources for identity signals and geographic coverage gaps.
- Negotiate contractual KPIs tied to false negative rates, latency, and system availability.
Biometrics: powerful but not a panacea
Biometric verification has matured since 2024. Liveness and AI-driven anti-spoofing have improved accuracy, but fraud actors now deploy deepfakes and synthetic voice/face models. Use biometrics as one of several signals and implement:
- Challenge-response and passive liveness hybrids
- Multimodal checks (face plus voice or behavioral patterns)
- Periodic re-enrollment for high-value accounts
- Fallback remediation paths for false rejects to avoid customer churn
Operational KPIs to measure success
Track these metrics monthly to ensure the identity program reduces the kinds of losses captured in the $34B estimate.
- Fraud loss as % of volume and absolute dollars
- Account takeover rate (ATO) per 1k accounts
- Onboarding false positive rate and customer dropoff
- SARs filed and SAR-to-conversion ratio
- Mean time to investigate KYC exceptions
- Percentage of high-value withdrawals flagged by KYT
Case study: Hypothetical exchange that avoided a $20M theft
Consider a mid-sized exchange that implemented the above plan in 2025 after a near-miss. The exchange layered device intelligence with behavioral biometrics and KYT. When a threat actor used AI-crafted synthetic identities to pass document checks, behavioral analytics detected anomalous transaction sequencing and flagged the accounts. Automated holds prevented a cascading withdrawal to a mixer. Investigation revealed a mule network. Estimated potential loss avoided: $20M. Lessons learned: documents are necessary but insufficient; behavior + transaction context closed the gap.
Regulatory and compliance considerations in 2026
Regulators accelerated expectations after 2024/2025 enforcement actions. In 2026 expect:
- More granular guidance on continuous KYC from national authorities and FATF
- Mandatory reporting of successful and attempted identity takeovers in some jurisdictions
- Requirements to demonstrate adversarial testing for biometric suppliers
- Greater adoption of digital identity frameworks in EU and APAC that favor verifiable credentials
Stay proactive: document your risk models, maintain audit trails for decisions, and prepare to demonstrate both technical and governance controls in regulatory exams.
Balancing user friction and fraud prevention
Stricter KYC often increases drop-off. Use these approaches to keep onboarding conversion healthy while reducing fraud:
- Risk-based friction: only elevate checks for high-risk users
- Progressive profiling: collect additional identity evidence as account activity or risk increases
- Use verifiable credentials to reduce repetitive PII requests
- Offer frictionless verification channels such as bank-powered attestations for onramps
Emerging trends and forward-looking defenses
As we progress through 2026, expect these developments:
- Privacy-preserving verifiable credentials will reduce PII footprint while improving trust between institutions.
- Consortium-based device reputation will become common to identify bot farms and mule networks across platforms.
- AI-powered adversarial testing will be required by top-tier vendors to prove resilience against synthetic identities.
- MPC and hardware attestation used in custody solutions will provide stronger non-repudiation for transaction signing.
Checklist: Immediate technical and governance changes
- Run a tabletop exercise simulating synthetic identity penetration and measure detection time.
- Implement continuous KYC triggers tied to value, velocity, and counterparty risk.
- Require vendor proof of anti-spoofing and maintain an approved vendor list.
- Create cross-functional incident response playbooks linking AML, security, and legal teams.
- Adopt cryptographic attestations for identity actions where possible.
"Good enough identity checks are no longer enough." Use the $34B finding not as alarmism but as a roadmap to redesign KYC for the modern threat landscape.
Final takeaways
The PYMNTS/Trulioo estimate that banks misjudge identity risk to the tune of $34 billion is a clarion call for crypto firms. Exchanges and custodians operate in higher-risk environments and must move from one-time verification to continuous, layered identity defenses. The technology exists—biometrics, behavioral analytics, KYT and verifiable credentials—but success depends on integration, vendor diligence, governance, and measurable KPIs.
Call to action
If your firm has not reviewed its identity controls in the last 12 months, treat that as mission-critical. Start with a 30-day diagnostic using the roadmap above, align compliance and fraud teams, and prioritize vendor audits focused on adversarial resilience. For a practical template, download our 90-day KYC hardening checklist and vendor questionnaire at crypts.site/security-resources or contact our advisory team to run a simulated synthetic identity attack tailored to your platform.
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