Frontline workers make up 80% of the global workforce, and 70% of critical infrastructure depends on frontline operations. Yet only 13% of organizations bring frontline access into core IAM policy, and 57% of frontline workers share login credentials to complete their tasks. That is not a training problem. It is what happens when identity built for stable employment, dedicated devices and predictable access patterns meets shared systems, operational volatility and distributed accountability, where decisions made in stable conditions fail in real-world execution. Traditional IAM never kept pace with the frontline, and agentic AI is about to widen the same gap again.
This demo-led session shows how to close it. We spend the bulk of the session in the live environment, demonstrating how to deliver continuous, low-friction, high-assurance access across shared devices and dynamic conditions using adaptive Journeys, real-time context signals and liveness checks designed to help protect against deepfakes and other spoofing attempts.
We will walk through the orchestration behind each flow, show how trust is re-evaluated as conditions change during a session rather than only at login, and extend the same runtime controls to autonomous agents operating alongside frontline workers under Zero Trust principles.
The result is identity that adapts at runtime, not just at login. You will leave with a clear view of how runtime identity control works in Ping Platform, and a practical pattern for applying it to your own frontline and agentic use cases.
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