Authentication data modeled for agents
Journeys, subflows, outcomes, devices, browsers, timing and error context are normalized so AI tools can reason over the real login process instead of disconnected logs.
Corbado turns authentication telemetry into structured, AI-readable journey data. Use the console assistant or bring the same context into approved tools such as Claude Code, Codex or Copilot for compliant evaluation.
Approved AI workflow
Some teams can use the hosted console assistant. Others need local, enterprise-approved assistants. Corbado is built for both patterns by shaping authentication telemetry into clean analysis context.
approved-ai-workflow
$ load authentication journey context
dataset: login_funnel, passkey_user_analysis, error_overview
scope: project + selected filters
output: markdown + csv tables
$ ask approved assistant for root cause and next action
Journeys, subflows, outcomes, devices, browsers, timing and error context are normalized so AI tools can reason over the real login process instead of disconnected logs.
Developer-panel AI features use scoped datasets, project-level enablement and read-only query controls for analytics pages such as login, activation, funnel, errors and user analysis.
Analysis tools return structured tables and compact CSV-style results, making the data easier to inspect, share and feed into approved assistants without rewriting it first.
Proactive Insights
Every week, get an AI-generated summary of your passkey rollout performance with actionable recommendations.
Passkey Login Rate
Key Insight
Milestone approaching: Passkeys reached 41% of authentication this week, driven by automatic passkey enrollment rollout and improved Android UX.
Platform breakdown:
Android adoption significantly lags other platforms.
Recommendation
Investigate Android abort rate - currently 2.8x higher than iOS. Samsung One UI devices show highest drop-off.
Suggested action: Review Android passkey prompt UX, particularly on Samsung devices running One UI 6.0+
Natural Language Q&A
No SQL. No dashboards. Just ask questions in plain English and get instant answers with visualizations.
You: How are we doing compared to last quarter?
AI: Your passkey adoption has improved significantly since Q3:
| Metric | Q3 | Q4 | Now |
|---|---|---|---|
| Passkey Login | 15.2 | 21.6 | 41.3 |
| Append Success | 43.1 | 51 | 56.5 |
| Active Users | 10,280 | 23,840 | 39,470 |
Trend visualization:
Key milestones that drove growth:
Passkeys are approaching majority adoption (41%). At current trajectory, you'll reach 54% by June 2026.
You:What's preventing us from reaching 50%?
AI: Three factors are limiting your ceiling:
Blockers to 50% Passkey Adoption
Recommendation: Focus on Android UX. It's your highest-ROI opportunity - purely within your control, unlike browser support.
You:We're at 50% auto-append rollout. Should we go to 100%?
AI:Based on your 50% cohort data, here's the projection:
Auto-Append: 50% → 100% Rollout Projection
Success Rate by Segment (50% cohort):
No segment shows concerning variance.
✅ RECOMMENDATION: Proceed with 100% rollout
The data supports full rollout. The slight success rate dip (-0.6pp) is expected as you include more edge-case users, but is within acceptable range.
Success Rate Analytics
Measure what matters for your business: how reliably users authenticate, regardless of method. Understand how passkey adoption drives overall success rates.
Overall Auth Rate
92.4%
+1.0pp vs prior month
Via Passkey
42.3%
+5.7pp vs prior month
Passkey Logins
2.56M
+10% vs prior month
How Users Successfully Authenticate
Method Shift (Jul → Jan)
AI Insight
"Every 1pp shift from password to passkey improves overall auth success by 0.2pp, because passkey completion (92.7%) is 19pp higher than password completion (73.4%). At current trajectory, passkeys will handle 54% of logins by June 2026, pushing overall auth success above 94%."
Returning User Analytics
Understand how authentication success rates hold up when users return after days, weeks or months away.
Passkey Success Rate by Time Since Last Login
Compare: Passkey vs. Password Over Time
Business Impact
"For an e-commerce site where users return every 2-3 months, passkeys eliminate the 40-55% password failure rate for returning users. At 410K monthly returning logins, that's ~165K fewer failed authentications."
Stakeholder Reporting
AI-generated summaries ready for your CFO, CISO or board. Different metrics for different stakeholders.
Passkey Logins
987K
+35% vs Q3
Activated Users
39.4K
+54% vs Q3
Success Rate
92.1%
+1.5pp vs Q3
Authentication Method Mix
Passkey share by month:
💡 Passkeys became primary auth method in Jan 2026. Projected to reach 65% by Q2.
AI Summary for Stakeholders
"Passkey adoption hit 41% in January 2026, approaching our targets ahead of schedule. The combination of conditional UI (Oct), auto-append (Nov) and in-app nudges (Dec) accelerated adoption beyond projections. Legacy MFA methods (PW+TOTP 28%, PW+SMS 31%) are declining steadily."
Adoption Tracking
Track adoption rates, monitor credential health and understand where your passkeys are stored across platforms and providers.
Activation Rate Over Time
At +1.2pp/month, 80% target projected for November 2026
Where Are Passkeys Stored?
| Provider | Count | Share | Synced? |
|---|---|---|---|
| iCloud Keychain | 857K | 42.6% | Cross-device |
| Google Password Mgr | 626K | 31.1% | Cross-device |
| Windows Hello | 280K | 13.9% | Device-bound |
| 1Password | 99K | 4.9% | Cross-device |
| Samsung Pass | 74K | 3.7% | Samsung only |
| Other | 77K | 3.8% | — Mixed |
AI Insight
"78.6% of passkeys are synced credentials (iCloud + Google + 1Password). These survive device changes and have the highest long-term reliability. The 13.9% Windows Hello credentials are device-bound - users lose them on new PCs."
Fallback Intelligence
Understand method switching behavior to reduce authentication drop-off and optimize your fallback strategy.
Overall Auth Rate
95.7%
Needed Fallback
27.8%
tried 2+ methods
Recovery Rate
84.5%
of those who failed first method
Authentication Flow
Failure Reasons
84.5% of users who fail with their primary method still complete login via fallback. Without intelligent fallback, these 1,917 users per week would have been lost.
Recommendation
"The 72.2% primary passkey success rate is below the 92%+ seen in other cohorts - investigate password manager UX conflicts (23.1% of failures) and timeout issues (9.7%) as root causes."
Proactive Monitoring
Get notified when something's wrong before your users complain. AI analyzes root causes automatically.
iOS Web Passkey Success Rate dropped 15% in last 24 hours
What happened:
iOS Safari passkey login success dropped from 87.4% to 74.2% starting Jan 27, 2:00 AM UTC.
Success Rate (iOS Safari):
Root cause analysis:
Impact:
Use Corbado's structured journey data and guarded analysis tools to answer the questions dashboards alone cannot handle.