Enzai's continuous governance means inventory, risk assessment, compliance scoring, and audit evidence all update as the AI estate changes rather than at a calendar cadence. When a vendor pushes a model update, affected systems re-trigger assessment automatically.

Enzai syncs with AWS, Azure, GCP, Databricks, Watsonx, and Snowflake for AI asset discovery and monitoring. Model governance covers OpenAI, Anthropic, and proprietary internal models. Workflow integrations push approvals into Jira, ServiceNow, and Slack.

Enzai supports the EU AI Act, ISO 42001, NIST AI RMF, GDPR for AI-specific scenarios, the major US state regimes, Treasury FS AI RMF for financial services, and OWASP Agentic Top 10 for agentic systems. New regulation packs are added centrally.

Most teams see initial inventory populated within 30 days through multi-method discovery. Risk-tiered intake and framework mapping reach steady-state inside 60-90 days. The shift to live compliance scoring happens as soon as the first assessment cycle completes.

No. Continuous means the record is always current, not that the team is always interrupted. Assessments re-run automatically when a system materially changes, and only findings that move a system's risk or compliance position surface for a human. Everything else updates the inventory and the score quietly.

Yes. Enzai is built for enterprises operating AI in high-stakes environments. The platform scales across hundreds of AI systems and supports the cross-functional collaboration that legal, risk, compliance, security, and AI engineering teams need to govern AI together.