State of Enterprise Security 2026: Endpoint Telemetry Benchmarks from 10,000+ Monitored Systems

This annual report aggregates anonymised telemetry from enterprise and MSSP environments monitored by Threatstealth from January 2025 through April 2026. The dataset covers endpoint agents, WAF events, identity anomaly signals, and compliance control statuses.

Mean Time to Detect (MTTD) — 6.2 Hours Median

Median MTTD across all monitored environments was 6.2 hours in 2025–2026, down from 8.4 hours in the prior year. Top-quartile environments achieved a median MTTD of 1.8 hours; bottom-quartile environments had a median of 22.6 hours. The gap is almost entirely explained by three factors: alert triage automation, EDR tuning quality, and whether analysts run a structured morning triage block.

Mean Time to Respond (MTTR) — 4.1 Days Median

Median MTTR was 4.1 days. MTTR here is defined as the time from first detection to incident closure — not merely containment. The majority of MTTR variance is explained by patching workflows, not investigation speed. Environments with automated patch deployment achieved median MTTR of 1.2 days; environments with manual change management processes averaged 11.8 days.

• Top-quartile MTTR: 18.4 hours (automated patch + incident closure workflows)
• Bottom-quartile MTTR: 21.3 days (manual patching, unclear incident ownership)
• Ransomware incidents: median MTTR 6.4 days (includes recovery time)
• Phishing-originated incidents: median MTTR 2.8 days
• Supply chain incidents: median MTTR 14.1 days (forensic complexity)

Alert Fatigue: 41% of Critical Alerts Missed SLA

41% of critical-severity alerts across all environments were not actioned within the defined SLA window. This is consistent with industry survey data. The primary cause is volume: environments generating more than 200 alerts per analyst per day had a 68% SLA miss rate on critical alerts. Environments generating fewer than 40 alerts per analyst per day had a 9% miss rate.

Alert tuning — reducing false positive rates through baseline tuning and alert suppression rules — was the single highest-leverage action to reduce SLA miss rates. A 30% reduction in false positive volume was associated with a 52% reduction in critical alert SLA miss rate.

Patch Cadence Benchmarks

Critical CVEs (CVSS ≥ 9.0): median time to patch was 12.4 days across all environments. CISA KEV-listed critical CVEs: median 4.2 days — indicating that KEV designation does accelerate patching decisions. The federal 14-day deadline for KEV-listed vulnerabilities was met by 61% of observed environments.

MFA Adoption: 73% Platform-Wide, 94% for Privileged Accounts

Across all monitored identities, 73% had MFA enrolled. For accounts with admin or operator roles, MFA coverage was 94%. The 6% gap in privileged account MFA coverage represents the highest-risk exposure in the identity surface: a single compromised admin without MFA is a full tenant compromise.

• WebAuthn/FIDO2 adoption: 18% of MFA-enrolled users (up from 6% in 2024)
• TOTP adoption: 62% of MFA-enrolled users
• SMS/email OTP: 20% — declining year-over-year as organisations phase out phishable MFA
• Service accounts without MFA: 34% (consistent with prior year — machine identity MFA remains unsolved)

What Separates Top-Quartile Teams

Top-quartile security teams — those achieving sub-2-hour MTTD, sub-24-hour MTTR, and below 10% critical alert SLA miss rate — share a consistent set of operational practices regardless of team size or budget.

• Structured triage block: a defined daily window for alert review, not ad-hoc monitoring
• KEV-first patch queue: CISA KEV entries are automatically elevated to P0 regardless of CVSS
• Alert tuning cadence: false positive suppression rules reviewed weekly, not quarterly
• Privileged account hygiene: 100% MFA on all admin accounts with no exceptions
• Incident ownership: every open incident has a named owner and a dated next action
• SIEM correlation rules reviewed monthly — stale rules disabled, not accumulated