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◉ Estimated risk surface
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Agent Readiness Assessment

— This 90-second evaluation scores your organization against seven AI governance dimensions: agent inventory, access controls, observability, policy enforcement, MCP security, A2A identity, and incident response. Your score is benchmarked against Fortune 500 peers in regulated industries. Upon completion you receive a personalized remediation roadmap highlighting your highest-priority control gaps.

Most enterprises have already deployed dozens of AI agents across sales automation, code generation, customer support, and data pipelines. Without a systematic inventory and governance layer, those agents operate outside your security perimeter, accessing sensitive data stores and external APIs with no audit trail. Regulators in financial services, healthcare, and critical infrastructure are now actively examining AI agent access logs as part of compliance reviews.

This assessment was built from Trust3 AI analysis of enterprise AI deployments. Each question maps to a specific control gap observed in production agentic environments. Results are specific to your architecture — not generic best-practice checklists. The assessment takes about ninety seconds to complete and requires no login or installation. It is designed for security, platform, and data governance teams who want a fast, structured view of how well their organization currently tracks and controls the AI agents already running in production. Your answers are used only to generate your individual results. Because agent governance programs evolve quickly, we recommend revisiting the assessment periodically as new agents, tools, and integrations are added to your environment.