Observed Signal · May 5, 2026 · Partnership · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive
Ping Identity and OLOID Launch Passwordless Healthcare Identity
Ping Identity announced a partnership with OLOID to deliver a passwordless, Verified Trust identity solution for the U.S. clinical healthcare workforce. The cloud-native SaaS combines Ping’s identity verification and trust layer (PingOne Verify) with OLOID’s Tap-and-Login access across clinical environments. The joint solution targets verified onboarding, passwordless Tap-and-Login for shared workstations and EHRs, and high-assurance account recovery, while supporting mobile wallet presentation (Apple Wallet, Google Wallet) where available. PingOne Verify emphasises minimal PII collection and uses a one-second passive liveness biometric check. The companies position the solution as a way to reduce clinician friction, mitigate credential-based attacks and unsafe workarounds, and improve productivity in healthcare settings facing rising impersonation and cyberattack risks.
The partnership introduces a cloud-native, passwordless identity solution tailored to clinical workflows — relevant to healthcare security and workforce efficiency but not an industry-shifting platform or regulation.
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Key Takeaways & Evidence Grounding
- Ping Identity and OLOID announced a partnership to deliver a passwordless, Verified Trust identity solution for the U.S. clinical healthcare workforce.
- The joint solution's core use cases are Verified Onboarding, Verified Tap-and-Login, and Verified Recovery.
- The product is a 100% cloud-native SaaS; Ping provides identity verification (PingOne Verify) and OLOID provides Tap-and-Login access.
- PingOne Verify performs a one-second passive liveness biometric check, collects minimal PII, and supports rapid PII deletion policies.
- Clinician-held credentials can be presented via mobile wallets (Apple Wallet and Google Wallet) where available.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Ping Identity Extends Runtime Identity to AWS, Google, Cloudflare
Ping Identity announced integrations that extend its Runtime Identity™ continuous authorization and policy enforcement capabilities into Amazon Web Services (AWS), Google Cloud, and Cloudflare. The integrations are designed to give security teams real-time visibility and control over AI agents operating across cloud and edge environments by centralizing authorization, enforcing fine‑grained policies, and monitoring agent activity. On AWS, Ping is listed as a Security Competent ISV partner and targets Bedrock AgentCore and multi-account workloads; on Google Cloud PingOne Authorize integrates into the Agent Gateway flow; and with Cloudflare the effort applies identity and Zero Trust enforcement at the edge, leveraging Cloudflare’s global infrastructure and GPU-enabled cities for AI inference. Executives from Ping Identity, AWS and Cloudflare are quoted on the collaboration and governance goals.
Ping Product Corner: Faster Orchestration, Smoother Verification, Broader Protection
See August's Ping Identity product updates that connect Ping’s universal services: identity verification, zero-knowledge biometrics, orchestration, and threat protection.
Only 9% of Firms Ready for AI Identity Threats
Ping Identity published independent research, conducted by IDC from a global survey of 794 organizations, finding that only 9% meet IDC’s criteria for “verified trust” — defined as continuous, contextual identity verification across human and AI interactions. Organizations meeting verified trust criteria showed material business advantages: 51% higher customer registration conversion, 43% lower fraud losses, 44% stronger compliance readiness, and 47% faster workforce onboarding. The study also highlights a maturity gap: 51% of organizations consider themselves leaders in digital trust, but few have operationalized verification at scale. Ping Identity and IDC argue that continuous verification (using signals such as zero-knowledge biometrics, device posture, behavioral intelligence, and AI-aware risk analysis) is foundational for controlling AI-mediated interactions and reducing risk while unlocking business value.
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