The Difference

The CymBytes Difference

Traditional cyber training checks boxes. CymBytes measures incident response with the same metrics your SOC uses in production — and proves your team can perform when it matters.

Core Philosophy

Evidence Over Assumptions

While traditional training relies on checkboxes and self-reported confidence, CymBytes measures real incident response performance with four operational metrics.

MTTD
Mean Time to Detect

Measures how quickly an analyst or AI agent identifies the initial threat indicators. Faster detection shrinks the adversary's dwell time and limits blast radius.

MTTI
Mean Time to Investigate

Tracks investigation depth and speed — how effectively the responder correlates events, pivots across data sources, and maps the full attack chain.

MTTC
Mean Time to Contain

Records how fast decisive containment actions are taken — account disablement, host isolation, firewall rules — to stop lateral movement.

MTTR
Mean Time to Recover

Captures the full recovery timeline: documentation, credential rotation, system restoration, and the final incident report.

Side by Side

Traditional vs. CymBytes

A direct comparison of legacy training platforms against the CymBytes approach to building cyber-ready teams.

Traditional Training

  • Static VMs with no background activity
  • Checkbox and flag-based scoring
  • No AI tutoring or guidance
  • Sterile, unrealistic environments
  • No measurable IR metrics
  • Manual lab setup and teardown

CymBytes

  • Living environments with realistic user activity
  • Evidence-based scoring (MTTD / MTTI / MTTC / MTTR)
  • AI Lab Assistant with Socratic tutoring
  • Enterprise-grade AD, SIEM, endpoint telemetry, segmentation
  • Audit-ready reports aligned to NIST & NICE
  • On-demand cloud deployment in minutes

AI Agent Testing

Built for the Future

As organizations deploy AI agents for security operations, CymBytes provides the only platform that tests both human and AI agent performance with the same evidence-based metrics.

AI Agent Benchmarking

Run your AI security agents through the same lab scenarios as human analysts. Measure their MTTD, MTTI, MTTC, and MTTR side by side with your team to understand where automation excels and where humans still lead.

Human + AI Teaming

Train your SOC analysts to work alongside AI agents in realistic environments. Understand handoff points, build trust in AI recommendations, and optimize the human-AI workflow for maximum response speed.

Unified Reporting

One dashboard for human and AI performance. Compare detection rates, investigation thoroughness, and response times across your entire security operation — organic and automated — with audit-ready exports.

False Positive Validation

AI agents generate alerts — but how many are real? Test your AI in living environments with authentic noise and real user activity to measure false positive rates before they overwhelm your SOC. Validate that your AI catches what matters and ignores what doesn't.

See what evidence-based training looks like.

The evidence-based, enterprise ready, cloud native AI cyber range & SOC training labs — built for teams that need to prove readiness.