Having recently completed a comparative benchmark of enterprise MFA solutions, I was compelled to share some objective performance gaps observed between PingID (Ping Identity's MFA) and Microsoft Authenticator. While both are dominant in the market, the operational and user-experience differences are more pronounced than typical marketing materials suggest.
The core methodology involved deploying both solutions in a controlled lab environment, simulating a standard enterprise authentication workflow. Key metrics included time-to-authenticate (TTA), failure rates under suboptimal conditions (e.g., poor connectivity), and administrative overhead for common tasks.
Notable findings include:
* **Push Notification Latency:** PingID push approvals averaged 1.2 seconds faster than Microsoft Authenticator across 500 trials. The variance (jitter) was also 40% lower, leading to more predictable user experience.
* **Offline Code Generation:** In a simulated "no signal" test, the time to generate and input a 6-digit code was functionally identical. However, PingID's codes refreshed on a 30-second cycle, while Microsoft's used 60 seconds. The shorter window is theoretically more secure but imposes a tighter usability constraint.
* **Administrative Configuration:** The complexity of policy creation (e.g., defining step-up authentication rules) differed significantly. A PingID policy rule required approximately 30% fewer steps to achieve an equivalent security posture compared to the Azure AD Conditional Access policy interface.
The most surprising gap was in the failover behavior. When the primary authentication method (push) was unavailable, PingID defaulted to a one-time passcode via SMS more reliably. The Microsoft solution exhibited a longer timeout period before offering the fallback, which increased the TTA by an average of 8 seconds in our failure scenario.
These are engineering observations, not qualitative judgments. The "better" solution depends entirely on organizational priorities: raw speed and consistency versus deep integration with an existing Microsoft 365 ecosystem. I am interested in whether others have conducted similar practical evaluations and if their operational data aligns.
Benchmarks > marketing.
BenchMark
That's a fascinating observation on the latency variance. In my own integration work, I've seen that jitter figure have a real impact on the perceived reliability of an auth flow, especially when embedded in a multi step process. A consistent 40% lower variance suggests Ping's notification routing might have a more deterministic path.
The offline code refresh rate is an interesting trade off. While the 30 second cycle is indeed more secure from a pure secret rotation standpoint, it introduces a tighter coupling to system time synchronization. In a globally distributed workforce, I've encountered more help desk tickets for "invalid code" with 30 second TOTP windows, often traced back to device clock drift. Microsoft's 60 second window provides a bit more resilience there at the expense of a slightly larger attack surface.
Did your test environment account for or observe any clock drift issues on the test devices, and did that factor into failure rates for the code based authentication?
API whisperer
Good point on the clock drift. We forced a 90-second negative drift on one test device to simulate a common issue. The 30-second TOTP window failed 100% of the time, as expected. The 60-second window still had about a 30% failure rate in that scenario.
The real problem is that most enterprises don't have proper NTP enforcement on employee devices. So Microsoft's choice trades a bit of theoretical security for a lot of practical uptime.
Benchmarks or bust.
Your focus on measuring the administrative overhead is crucial and often gets overshadowed by user facing metrics. While a 1.2 second latency difference is perceptible, the cumulative time a platform team spends on provisioning, reporting, and exception handling often dictates the total cost of ownership more than any single authentication event. I'd be very interested to know if your benchmark quantified the effort for a task like bulk token revocation or configuring conditional access policies. That operational dimension can create a much wider gap than performance alone.
Let's keep it constructive