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CYGNVS Launches AI Incident Command Center to Manage AI-Driven Operational Crises

Platform

CYGNVS AI for Cyber Readiness and Incident Response

Industry’s only purpose-built AI trained on 20,000+ real-world incidents and outages to deliver incident-specific guidance.

Many AI-driven incident response solutions fail because they lack real-world incident data. By partnering with Marsh, the world’s leading insurance broker and risk advisor, CYGNVS securely incorporates anonymized and aggregated incident patterns into model training. By combining CYGNVS innovation with Marsh’s real-world insight, enterprises benefit from a purpose-built AI model that helps teams prepare, respond, and report with greater speed, clarity, and confidence.

Real-World Incidents

AI trained on over 20,000 real-world
incidents and outages

Privacy First

Anonymized and aggregated incident
patterns with no shared client data

Purpose-Built AI

Designed specifically for readiness, tabletop
exercises, live responses, and reporting

Action In Minutes

Move with speed, confidence,
and coordination during
high-pressure incidents

Faster Readiness.

CYGNVS AI helps organizations build, assess, and continuously improve response playbooks so teams are ready when a crisis begins.

  • Benchmark and improve playbooks against industry standards
  • Produce department, incident type, or geography-specific playbooks

Real-Time Guidance.

During live incidents, CYGNVS AI delivers role-specific guidance and real-time summaries that help teams take the right action faster.

  • Deliver real-time, role-specific incident response summaries
  • Provide incident specific guidance to help teams act faster and smarter

Superior Reporting.

CYGNVS AI accelerates post-exercise and post-incident reporting by turning outcomes into actionable insights and compliant documentation.

  • Generate after-action reports from tabletop exercises
  • Quantify exercise participation, gaps, and recommendations
  • Pre-populate regulatory reports

Real-World Incident Insights, Protected.

Marsh independently develops model weights and tokens by analyzing its library of loss data, then internally vets the training outputs to ensure client information remains private and secure. CYGNVS aggregates the resulting anonymized insights and patterns with its own independent sources to create an integrated training set for the CYGNVS AI model. This approach gives organizations access to data-driven incident insight while maintaining strict controls over privacy and security.

"We collaborated with CYGNVS to bring this AI model to life for our clients, enabling them to learn from and apply our experience for more successful incident readiness and response. Our approach ensures client privacy and security, while delivering proactive, context-aware AI-based guidance."

Thomas Reagan

Global Head of Cyber at Marsh Risk

Learn more about CYGNVS AI

Download the CYGNVS AI solution brief.