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CYGNVS AI

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.

Where innovation meets enterprise-grade data

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 Marshโ€™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

Real-Time Guidance.

Build Operational Readiness before an incident occurs

  • Instantly collaborate with your entire internal and external team with fine-grained access control.
  • Work together anytime, anywhere on mobile devices or through a browser.
  • Intuitive end user experience requires no training.

Superior Reporting.

Strengthen Team Readiness and Build Muscle Memory Through Simulations

  • Fine-grained access across all external provider users.
  • Easily change an external provider by having a new provider pick up where the old one left off.
  • Manage data retention policies for external providers.

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.