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02/09/2026 3:58 pm
TL;DR: Passwordless biometrics, behavioral signals, and risk-based challenge flows are presented by SecureAuth as a way to replace the old security-versus-usability trade-off in authentication. The core implication is that stronger identity assurance only works when users can complete it consistently, because friction often pushes risk into weaker fallback paths.
NHIMG editorial — based on content published by SecureAuth: strong authentication with frictionless user experience
Questions worth separating out
Q: How should security teams implement stronger authentication without creating more user friction?
A: Start with phishing-resistant methods for high-risk users, then reduce prompts by using risk-based policies for routine access.
Q: When does passwordless authentication create more risk than it removes?
A: Passwordless authentication creates more risk when the organisation cannot manage device loss, account recovery, or user education.
Q: How do behavioural biometrics fit into continuous verification?
A: They add a low-friction signal to ongoing trust decisions by checking whether session behaviour matches the expected user pattern.
Practitioner guidance
- Measure authentication completion as a security metric Track prompt abandonment, fallback use, and help desk reset volume alongside authentication success rates.
- Replace blanket step-up prompts with risk-based logic Use contextual signals such as device posture, location anomalies, and session behaviour to decide when extra verification is justified.
- Design passwordless rollout with fallback governance Map every passwordless journey to its fallback path, then restrict weak alternatives so they do not become the default.
What's in the full article
SecureAuth's full article covers the operational detail this post intentionally leaves for the source:
- Product-specific authentication workflows for workforce and customer identity use cases
- SecureAuth's framing of continuous authority across different deployment patterns
- Examples of how its adaptive MFA and passwordless approaches are positioned for retail, healthcare, and enterprise environments
👉 Read SecureAuth's analysis of passwordless and adaptive authentication →
Phishing-resistant authentication: can strong security stay usable?
Explore further
02/09/2026 3:58 pm
The trade-off myth is the wrong frame for identity security: secure authentication does not have to be painful, but friction always has a governance cost. When users cannot complete the intended journey, they create informal bypasses such as resets, exception handling, or repeated prompts. In identity programmes, user abandonment is not just a UX issue, it is a control degradation issue. Practitioners should treat completion rate as an authentication security signal, not a convenience metric.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- 1 in 4 organisations are already investing in dedicated NHI security capabilities, with an additional 60% planning to do so within the next twelve months.
A question worth separating out:
Q: What should IAM teams measure to know if adaptive authentication is working?
A: Measure whether the control changes attacker success rates, not just whether users receive fewer prompts. Useful indicators include step-up challenge outcomes, unusual-login block rates, fraud investigation rates, and the proportion of risky sign-ins that are stopped before session establishment.
👉 Read our full editorial: Phishing-resistant authentication can reduce friction without weakening IAM
