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Arctyra publishes practitioner-built frameworks, assessment tools, and training curricula. Each resource is grounded in engagement experience and designed for direct operational use.
A 15-question self-assessment that scores an organization's readiness to adopt AI across three dimensions: data infrastructure, technical capability, and governance readiness. The output is an immediate PDF report with dimensional scores and a recommended next step. The full version, delivered as part of a paid engagement, covers five dimensions with peer benchmarks and a 12-month action plan.
A structured assessment methodology for insurance carriers, MGAs, and insurtechs evaluating AI governance under NAIC Model Bulletin and EU AI Act requirements. The framework scores five risk domains: regulatory compliance, model risk, operational risk, data risk, and governance accountability. The output is a regulator-ready risk register with prioritized remediation roadmap.
A practitioner-written methodology for assessing the security attack surface created by AI adoption. The framework covers six risk domains: model-level threats, data risk, agentic workflow risk, supply chain risk, operational risk, and compliance. The output is a scored risk assessment with a prioritized remediation roadmap. Designed for CISOs, CTOs, and security teams evaluating AI deployments.
A structured training curriculum with four tracks covering executive leadership, operations teams, agentic AI architecture, and AI security. Each track is available as a standalone program or combined into a multi-track engagement. Programs include participant workbooks, post-training assessments, and a 90-day action plan.
An annual research report analyzing AI adoption failure modes, organized around a four-dimension taxonomy: technical, logistical, operational, and knowledge maturity. The report draws on public data from NAIC surveys, NIST publications, and industry research, supplemented by anonymized patterns from Arctyra engagements. Published in Q1 each year.