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AI Security Assessment

The AI Security Assessment is a purpose-built framework for measuring how well your organization governs its use of artificial intelligence. Unlike traditional compliance standards that treat AI as an afterthought, this framework places AI-specific risks — shadow AI, data exfiltration through generative tools, third-party model risk, and AI-driven insider threats — at the center of evaluation. The framework spans 82 questions across 10 control domains. It is grounded in guidance from NIST’s AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLMs, and emerging regulatory expectations for AI governance. Whether your organization uses AI tools informally or has deployed production AI systems, this assessment reveals your current control posture and tells you exactly what to address first. The AI Security Assessment is the only framework available on the free tier. There is no comparable dedicated AI security assessment available on any other posture management platform.

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What Ayliea Assesses

Across 10 control domains, the assessment evaluates whether your organization has implemented the policies, technical controls, and operational procedures needed to use AI safely.
Whether you maintain an inventory of all AI tools in use — including browser extensions, third-party SaaS integrations, and model APIs. Questions evaluate discovery processes, ownership assignment, and inventory freshness.
How your organization identifies, classifies, and treats risks introduced by AI systems. This includes risk tiering based on data sensitivity, use case, and model origin, as well as escalation and acceptance processes.
Controls for detecting and managing unsanctioned AI tool usage. Questions assess whether you have the visibility, policies, and enforcement mechanisms to address AI tools adopted outside of formal procurement.
The clarity and reach of your AI acceptable use policy. Evaluated areas include policy coverage across user roles, prohibited use cases, enforcement mechanisms, and how frequently policy is reviewed and updated.
How your organization controls what data flows into AI systems. Questions cover data classification, prompting policies, output handling, sensitive data masking, and retention controls for AI-processed information.
Due diligence applied to AI vendors and model providers. Evaluated areas include vendor security reviews, data processing agreements, subprocessor transparency, and contractual controls over model training data.
Your operational visibility into AI tool usage. Questions assess logging coverage, anomaly detection for unusual AI interactions, alerting configurations, and integration with your broader security monitoring program.
Whether your incident response program covers AI-specific scenarios such as prompt injection attacks, data leakage via AI output, and model compromise. Questions evaluate playbook coverage and tabletop exercise history.
The depth and reach of AI security training. Questions cover role-specific training programs, coverage of secure prompting practices, phishing-via-AI scenarios, and training frequency.

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Who Needs This Assessment

  • Any organization whose employees use generative AI tools (ChatGPT, Copilot, Gemini, Claude, etc.)
  • Security teams tasked with building or auditing an AI governance program
  • Compliance teams preparing for AI-specific regulatory requirements
  • Organizations that have deployed AI into customer-facing or internal workflows
  • IT and security teams evaluating shadow AI exposure across the business
  • Organizations that want a baseline before implementing NIST AI RMF or the EU AI Act

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Getting Started

The AI Security Assessment is available to all users, including free tier accounts. Create an account at ayliea.com, then select AI Security from the framework list in the Assess tab. For step-by-step instructions, see the Quickstart guide.