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◉ Estimated risk surface
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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.
The assessment scores your organization across seven AI governance dimensions, such as visibility into the AI agents you run, control over what they can access, and readiness to produce audit evidence for regulators. Each answer feeds your score, so you can see where governance is strong and where agents may be operating without oversight.
You receive a personalized remediation roadmap that prioritizes the gaps that matter most, benchmarked against Fortune 500 peers. Security, risk, and compliance teams use it to start the conversation about shadow agents, over-permissioned tools, and audit readiness. It takes about 90 seconds.