Insurance customer portals are under pressure from multiple directions at once. Account takeover risk is rising, SMS OTP is expensive at scale, call centers absorb the fallout from password and MFA failures and regulators increasingly expect phishing-resistant MFA. That combination makes insurance one of the clearest customer authentication use cases for passkeys.
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Insurance customer portals hold some of the most sensitive personal data out there while often relying on weak login security. That makes them a natural target for credential-based attacks. Policyholder accounts contain Social Security numbers, banking details, health records and claims history. All of this can be monetized through identity theft or fraudulent claims.
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Unlike banking portals where transaction monitoring catches fraud in real time, insurance fraud often takes weeks or months to surface. An attacker who gains access to a policyholder account can change beneficiaries, file fraudulent claims, or exfiltrate personal data long before the insurer detects the compromise.
The scale of the problem:
High-value data, delayed fraud detection, rising OTP costs and tightening regulation all point in the same direction: insurance portals urgently need phishing-resistant authentication.
Picking the right authentication method means weighing security, user experience, recovery, rollout complexity, support burden, compliance posture and cost at scale. The table below breaks down how each option stacks up.
| Method | Security | UX | Recovery | Rollout Complexity | Support Burden | Compliance | Cost at Scale |
|---|---|---|---|---|---|---|---|
| SMS OTP | Low: vulnerable to SIM-swapping, SS7 interception and phishing relay attacks. NYDFS explicitly flags SMS as weak MFA. | Medium: familiar but slow (wait for message, switch apps, type code). 5-15% delivery failure rate at scale. | Easy: tied to phone number, but number porting creates recovery gaps. | Low: most CIAM platforms support SMS OTP out of the box. | High: delivery failures, expired codes and international roaming generate heavy call-center volume. | Minimal: satisfies basic MFA checklists but NYDFS and CISA recommend phishing-resistant alternatives. | High: USD 0.01-0.05 per message. At 10M OTPs/month: USD 1.2-6M/year before support costs. |
| Email OTP | Low: email accounts are frequently compromised; OTP codes are phishable and replayable. | Low: slow delivery (seconds to minutes), context-switching between apps, codes expire. | Easy: tied to email, but email compromise cascades to all linked accounts. | Low: trivial to implement via SMTP. | High: spam filters, delayed delivery and expired codes drive support tickets. | Weak: does not meet phishing-resistant MFA standards under NYDFS or FTC guidance. | Low: near-zero marginal cost per message, but high indirect support cost. |
| TOTP (Authenticator App) | Medium: eliminates SIM-swapping risk but codes remain phishable via real-time relay attacks. | Medium: requires app install, manual code entry and time synchronization. Friction for non-technical policyholders. | Hard: if device is lost without backup codes, account recovery requires manual identity proofing. | Medium: requires user education and app installation; adoption typically under 20% without mandating. | Medium: fewer delivery issues than SMS, but lost-device recovery and setup errors persist. | Moderate: meets basic MFA requirements but not phishing-resistant per NYDFS/CISA standards. | Low: no per-authentication cost, but app support and recovery overhead add indirect costs. |
| Device Trust | Medium: reduces friction on recognized devices but provides no phishing resistance; cookie/fingerprint can be replayed. | High: invisible to users on trusted devices; seamless repeat logins. | Medium: device loss or browser changes reset trust, requiring re-verification. | Medium: requires device fingerprinting infrastructure and trust decay policies. | Low: few user-facing prompts on trusted devices, but trust resets generate confusion. | Insufficient alone: does not qualify as MFA under any major framework without a second factor. | Low: infrastructure cost only; no per-authentication fees. |
| Passkeys (FIDO2/WebAuthn) | High: cryptographic, domain-bound, phishing-resistant by design. Immune to credential stuffing, SIM-swapping and relay attacks. | High: biometric or PIN confirmation in under 2 seconds. No code entry, no app switching. Aflac achieved 96% login success rate. | Medium: tied to platform ecosystem (iCloud Keychain, Google Password Manager). Ecosystem lockout requires identity proofing for recovery. | Medium-High: requires WebAuthn server, rpID strategy, enrollment flows, fallback logic and client-side telemetry. | Low: Branch Insurance saw support tickets drop ~50% after passkey deployment. | Strong: meets phishing-resistant MFA requirements under NYDFS Part 500, FTC Safeguards Rule and NAIC Model Law. NIST SP 800-63B recognizes synced passkeys as AAL2-compliant. | Low: zero per-authentication cost. ROI realized through SMS elimination, fraud reduction and call-center deflection. |
Bottom line: Passkeys are the only option that scores highest across security, UX, support burden, compliance and cost at scale. The trade-off is rollout complexity, but that is a one-time investment that pays for itself as adoption grows.
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Deploying passkeys in insurance is not the same as deploying them in banking or SaaS. Insurers deal with legacy infrastructure, multi-brand complexity, divergent user populations and layered regulatory requirements that shape every implementation decision.
Most large insurers run their consumer identity on enterprise CIAM platforms like Ping Identity, ForgeRock or Okta. These platforms now support FIDO2/WebAuthn at the protocol level, but that support only covers the backend ceremony. The adoption layer (enrollment nudges, device-aware prompts, error handling and client-side telemetry) is either missing or requires significant custom development.
This creates the same "1% trap" seen in banking deployments: the IdP checkbox is ticked, but adoption stagnates because no one built the product journey that moves policyholders from password to passkey.
A typical large insurer operates auto, home, life and specialty products, often on
separate subdomains or even separate domains acquired through M&A. Passkeys are
origin-bound: a credential created on auto.insurer.com will not work on
life.insurer.com unless both share the same Relying Party ID
(rpID).
The fix:
insurergroup.com) before any
passkey work begins.Insurance has two very different user populations hitting the same backend systems:
| Dimension | Policyholders | Agents / Brokers |
|---|---|---|
| Login frequency | Low (monthly bill pay, annual renewal, claims) | High (daily quoting, policy management, commission checks) |
| Device profile | Personal smartphones and tablets; wide OS/browser diversity | Shared agency workstations, corporate laptops, often behind firewalls |
| Trust level | Low initial trust; must be built through enrollment | Higher baseline trust; often pre-vetted through agency onboarding |
| Sensitivity | Full PII access (SSN, banking, health records) | Broad PII access across multiple policyholders |
| Fallback needs | Must never be locked out of claims or payments | Must never be locked out of quoting or policy binding |
Branch Insurance showed how this works in practice: they started with agents (higher frequency, more controlled environment) and hit 25% initial adoption before expanding to policyholders. Going agents-first built internal confidence and surfaced device-specific issues early on.
Insurance authentication is not just a US regulatory issue. The exact rules differ by market, but the direction is consistent: stronger identity controls, broader MFA coverage and more scrutiny of customer-facing digital channels.
For multi-region insurers, the practical implication is simple: design customer authentication to satisfy the strictest applicable regime. The common direction is toward risk-based and increasingly phishing-resistant MFA, not continued dependence on SMS OTP.
Enterprise Passkey Whitepaper (+70 pages). How leaders get +80% adoption. Trusted by Rakuten, Klarna & Oracle.
Launching passkeys without client-side telemetry is like writing an insurance policy without underwriting data. You will not know what is failing, where or for whom until your call center is overwhelmed. The "blind rollout" mistake from banking deployments applies just as much here, especially given the diverse policyholder demographics insurers deal with.
At a minimum, insurers should measure three business-facing outcomes:
If those three numbers move in the right direction, the rollout is working. If they do not, you need to adjust prompt timing, fallback design, device coverage or user education before scaling further.
Insurance portals are not just "log in and check balance" experiences. The highest-risk moments often happen when a policyholder files a claim, changes payout details, updates an address, adds a driver, changes a beneficiary or accesses sensitive documents. Those journeys should not be lumped into one generic login KPI.
Insurers should therefore track passkey performance separately for high-risk account events. If login success looks strong overall but claim-related or payout-related journeys still fall back to SMS or manual recovery, the rollout is not actually reducing operational risk where it matters most. This is one of the biggest differences between insurance and more frequently used consumer apps.
Many policyholders log in only a few times per year: at renewal, after a billing issue or when filing a claim. That makes passkey adoption in insurance fundamentally different from daily-use products. You have fewer opportunities to prompt, educate and recover from a bad first experience.
That is why insurers should measure enrollment by journey, not just in aggregate. A prompt shown after a successful payment or claim-status check may convert far better than a cold prompt on the first login screen months after the last session. In insurance, the best adoption moments are usually tied to trust and task completion, not login frequency.
Igor Gjorgjioski
Head of Digital Channels & Platform Enablement, VicRoads
We hit 80% mobile passkey activation across 5M+ users without replacing our IDP.
See how VicRoads scaled passkeys to 5M+ users — alongside their existing IDP.
Read the case studyThis four-level framework gives insurers a way to benchmark where they stand today on authentication, set target milestones and communicate progress to boards, regulators and auditors. Each level builds on the previous one.
| Level | Name | Auth Method | Phishing Resistance | Compliance Posture | Support Burden | Cost Profile | Visibility |
|---|---|---|---|---|---|---|---|
| 1 | SMS-Only | Password + SMS OTP as sole second factor | None: SMS is interceptable via SIM-swap, SS7 and phishing relay | Fails NYDFS phishing-resistant guidance; minimal FTC compliance; NAIC risk-based gap | High: OTP delivery failures, expired codes and password resets drive 20-40% of call-center volume | High: USD 0.01-0.05 per OTP at scale plus support costs | Minimal: server-side HTTP logs only; no client-side ceremony data |
| 2 | MFA-Enabled | Password + SMS/TOTP/push as second factor | Low: TOTP and push are phishable via real-time relay; push is vulnerable to fatigue attacks | Meets basic MFA checkbox for FTC and NAIC; does not meet NYDFS phishing-resistant recommendation | Medium: fewer SMS delivery issues but TOTP setup errors and push fatigue add new ticket categories | Medium: TOTP eliminates per-message cost but app support overhead persists | Limited: may track MFA method selection but lacks ceremony-level telemetry |
| 3 | Phishing-Resistant | Passkeys deployed as primary method; password/OTP as fallback for incompatible devices | High: FIDO2/WebAuthn credentials are domain-bound and cryptographic; immune to phishing, stuffing and SIM-swap | Meets or exceeds NYDFS, FTC and NAIC requirements; NIST SP 800-63B AAL2-compliant | Low: Branch Insurance saw ~50% ticket reduction; Aflac achieved 96% login success | Low: zero per-authentication cost; ROI from SMS elimination and fraud reduction | Moderate: enrollment and auth funnels instrumented; basic error classification in place |
| 4 | Phishing-Resistant + Observability | Passkeys as default; device trust scoring; risk-based step-up for anomalies; smart fallbacks | Highest: cryptographic auth + continuous device trust assessment + behavioral signals | Audit-ready: full telemetry supports CEO/CISO attestation, NYDFS examination and regulatory reporting | Lowest: proactive anomaly detection prevents issues before they reach the call center | Lowest: optimized fallback routing minimizes residual SMS spend; fraud losses reduced | Full: real-time dashboards covering adoption curves, error rates by device/OS, trust decay and SCA factor coverage |
The following diagram visualizes the four maturity levels as a progression from SMS-only to full observability.
How to use this model:
Enterprise Passkey Whitepaper (+70 pages). How leaders get +80% adoption. Trusted by Rakuten, Klarna & Oracle.
Most insurance executives treat authentication as an IT concern. That is a mistake. For C-level and VP-level leaders whose strategic agenda includes shifting policyholders from call centers and branches to digital self-service, authentication is the single biggest friction point standing in the way.
Every digital insurance initiative - self-service claims, online policy changes, digital payments, e-signature workflows - starts with a login. If policyholders cannot get past that front door reliably, none of the downstream investment delivers ROI.
The data is clear:
The following diagram illustrates how these four data points combine into a single adoption-blocking pattern.
For insurers spending millions on portal redesigns, chatbots and digital claims workflows, a password-and-SMS-OTP login experience undermines the entire investment. Policyholders who fail to log in or give up in frustration default to calling the contact center or visiting a branch - exactly the high-cost channels the digital strategy was supposed to replace.
Moving policyholders from human-assisted channels to digital self-service is one of the highest-leverage cost reduction strategies in insurance:
The chart below shows how these economics compare across channels.
Passkeys directly address the gap between customer intent and actual portal usage. When login takes under 2 seconds with a biometric confirmation instead of a password-plus-OTP flow that fails 5-15% of the time, more policyholders complete the digital journey instead of picking up the phone.
Most insurers know their digital adoption rate is lower than they want. What they cannot answer is why. Is it device incompatibility? Enrollment flow friction? A specific OS or browser where passkeys fail silently? A demographic segment that never gets prompted?
This is where Corbado's authentication observability provides something no other tool on the market offers: the ability to connect authentication telemetry directly to business metrics like digital adoption rate, self-service completion rate and channel migration.
Corbado surfaces:
For a CIO or SVP of Digital presenting to the board, this turns "we launched passkeys" into "passkeys increased digital self-service adoption by X%, reduced call-center volume by Y% and saved USD Z per quarter." That is the strategic narrative that justifies the investment and accelerates the broader digital transformation roadmap.
Igor Gjorgjioski
Head of Digital Channels & Platform Enablement, VicRoads
We hit 80% mobile passkey activation across 5M+ users without replacing our IDP.
See how VicRoads scaled passkeys to 5M+ users — alongside their existing IDP.
Read the case studyMost insurers already have a CIAM platform (Ping, ForgeRock, Okta) that can handle the WebAuthn ceremony. What they lack is the adoption layer that turns "we support passkeys" into "50% of our policyholders use passkeys." Corbado provides that layer.
Corbado's pre-built UI components and decision logic handle the enrollment journey that CIAM platforms leave to custom development:
Corbado maintains a continuously updated matrix of device-level passkey compatibility:
Corbado prevents permanent lockouts by intelligently routing users to alternatives when their device or environment is not passkey-ready:
Corbado provides the "X-Ray vision" that server-side CIAM logs cannot:
Corbado does not replace your existing CIAM stack. It sits in front of it, handling the real-world complexity of device fragmentation, user education and operational visibility that determines whether your passkey investment delivers ROI or stalls at under 1% adoption.
Insurance customer portals are under pressure from multiple directions at once: rising ATO attacks, costly SMS OTP infrastructure, call-center overload from password resets, tightening regulatory expectations across the US, EU, Australia and Canada - and a strategic mandate to shift policyholders from high-cost human channels to digital self-service. Passkeys address all five by eliminating phishable credentials, removing per-authentication costs, reducing support burden, aligning with the shift toward stronger MFA and removing the login friction that blocks digital adoption.
Aflac (500,000 enrollments, 96% success rate), Branch Insurance (50% ticket reduction) and HealthEquity (mandatory rollout with no opt-out) have already proven that adoption at scale works. The key is treating passkeys as a product journey rather than an infrastructure checkbox: invest in enrollment flows, instrument the client, plan fallbacks and build the telemetry that connects authentication performance to the business metrics your board actually cares about - digital adoption rate, call-center deflection and self-service completion.
Use the Insurance Authentication Maturity Model to benchmark your current posture, set a 12-18 month target and communicate structured progress to your board and regulators.
Corbado is the Passkey Intelligence Platform for CIAM teams running consumer authentication at scale. We help you see what IDP logs and generic analytics tools can't: which devices, OS versions, browsers and credential managers support passkeys, why enrollments don't turn into logins, where the WebAuthn flow fails and when an OS / browser update silently breaks login, all without replacing Okta, Auth0, Ping, Cognito or your in-house IDP. Two products: Corbado Observe layers observability for passkeys and any other login method. Corbado Connect adds managed passkeys with analytics built in (alongside your IDP). VicRoads runs passkeys for 5M+ users with Corbado (+80% passkey activation). Talk to a Passkey Expert →
Passkeys use public-private key cryptography bound to the insurer's domain, making them immune to phishing, credential stuffing and SIM-swapping attacks that plague password and SMS OTP flows. Aflac reported a 96% login success rate after deploying passkeys, and Branch Insurance saw support tickets drop by roughly 50%. Because no shared secret is transmitted during authentication, attackers cannot harvest reusable credentials even if they control the network.
In the US, NYDFS Part 500, the FTC Safeguards Rule and the NAIC Insurance Data Security Model Law all push insurers toward stronger MFA. Outside the US, EU insurers fall under DORA, Australian insurers under APRA CPS 234 and Canadian insurers under OSFI Guideline B-13, all of which raise expectations around authentication controls for customer-facing systems. Passkeys help because they provide phishing-resistant MFA using FIDO2/WebAuthn cryptographic credentials while reducing dependence on weaker SMS OTP flows.
SMS OTP costs USD 0.01-0.05 per message at scale, is vulnerable to SIM-swapping and phishing and generates high call-center load from delivery failures. TOTP apps eliminate per-message cost but remain phishable and require manual code entry. Device trust reduces friction on known devices but offers no phishing resistance. Passkeys combine phishing-resistant security with zero per-authentication cost and sub-2-second login times, making them the only method that scores highest across security, UX, cost and compliance dimensions.
Insurers face multi-brand portal complexity where auto, home and life products may run on separate subdomains requiring a unified rpID strategy. Legacy CIAM platforms like Ping, ForgeRock or Okta handle backend WebAuthn but offer limited adoption tooling. Agent versus policyholder flows require different trust levels and device profiles. Regulatory pressure also spans multiple jurisdictions: US insurers face NYDFS Part 500, NAIC Model Law and FTC Safeguards Rule, EU insurers fall under DORA, Australian insurers answer to APRA CPS 234 and Canadian insurers to OSFI Guideline B-13. That requires a rollout plan that satisfies the strictest applicable standard.
The Insurance Authentication Maturity Model defines four levels: Level 1 (SMS-only) with single-factor OTP and no phishing resistance; Level 2 (MFA-enabled) with password plus SMS or TOTP meeting basic compliance; Level 3 (phishing-resistant) with passkeys deployed, enrollment secured and smart fallbacks; Level 4 (phishing-resistant + observability) with full telemetry, device trust and continuous monitoring. Insurers can use the model to identify their current level, set target milestones and communicate progress to boards and regulators.
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