PingOne Recognize
PingOne Recognize is Ping Identity's biometric authentication solution. It combines true identity assurance, proprietary liveness, privacy-preserving technology, and device-agnostic architecture to reduce fraud, improve UX, and lower authentication costs.
Features
- Native, web, and mobile browser deployments via multi-tenant cloud or self-managed software.
- Active enrollment available via a customizable screen.
- Invisible enrollment available via IDV Bridge—users are bulk-enrolled using previously verified identities.
- Multi-factor by design—face and device—for flows where the device is not shared.
- Passive liveness—no blinking or head movements.
- Certified presentation and injection attack prevention.
- 300ms authentication speed.
- Works on any device (phone, shared tablet, desktop) with a front-facing camera.
- Multiple users can share the same device, and one user can authenticate on multiple bound devices.
- Can be combined with PingOne DaVinci, PingOne Verify, and PingOne Protect for verified trust flows.
Feature Detail
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Flexible Deployment & Integration
Description
Deploy PingOne Recognize wherever it’s needed—without re-architecting.
- SDKs for native mobile (iOS, Android, React and Flutter) as well as web (for desktop and mobile browsers).
- Available as multi-tenant SaaS or self-managed software.
- Deployable alongside PingOne or any third-party IdP or CIAM platform.
- Apply selectively to specific journeys (e.g., transactions or account recovery).
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Risk-Based & Orchestrated Authentication
Description
Apply biometric authentication dynamically based on context and risk.
- Integrates with Ping’s orchestration layers.
- Trigger authentication based on risk signals, behavior, and transaction context.
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Deepfake-Resistant
Description
Prevent presentation and injection attacks with layered defense.
- When the device is not shared, both face and device are needed to authenticate; remote deepfake attacks fail without the original device.
- Certified liveness detection stops presentation attacks by ensuring a real user is present, not a mask or deepfake.
- Injection attack prevention checks for device compromise e.g. spoofing tools.
- Behavioral signals detect unnatural device movement.
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Privacy-Preserving Architecture
Description
Prevent presentation and injection attacks with layered defense.
- The mobile/web SDK captures a selfie.
- Certified liveness and anti-injection checks are run on-device.
- The resulting template is transformed into a cryptographic representation and sent to the PingOne Recognize server (AWS Nitro for web).
- The PingOne Recognize server validates the match without storing any PII or biometric data in retrievable or reconstructable form.
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Identity Assurance Use Cases Across the Full User Lifecycle
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Verified Opening
true
Active enrollment via a standalone Ping screen, or invisible enrollment using previously verified identities or employee images—eliminating user-driven enrollment entirely.
Verified Access
true
Protect logins and critical account changes (CIAM), secure employee access on any shared workstation (Workforce & B2B), and dynamically link transactions to the amount and account details (Payments).
Verified Recovery
true
Dramatically reduce the cost of account recovery with instant, self-service re-verification. Marry new devices to existing accounts with one glance at the camera.
Shared Devices (Frontline Workers)
true
Authenticate employees on any shared terminal without needing a token or unique device.
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Certifications
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NIST FRVT 1:1
true
One of the highest commercially available face matching models.
ISO/IEC 30107-3 Evaluation
true
Detects biometric fraud (photos, masks, videos). Strong protection against spoofing and ID fraud.
CEN/TS 18099 Certified
true
High-level certification against injection attacks.
Privacy-Preserving
true
Validated ability to operate without explicit user consent. Not a data processor under GDPR.