Industries
The assessment method stays rigorous. The risk context changes.
Ayliea applies evidence-led AI security assessment to environments where sensitive data, customer trust, regulatory obligations, or high-impact workflows make unsupported answers costly.
01 / INDUSTRIES WE SERVE
Start with the environment around the AI.
Industry context changes the data boundaries, threat scenarios, evidence expectations, and requirements that matter. Each page below explains what commonly shapes an assessment without pretending every organization in a sector has the same obligations.
Healthcare
PHI boundaries, healthcare vendors, clinical workflows, and AI used around sensitive health information.
Explore Healthcare →02Financial Services
AI used around nonpublic information, customer workflows, fraud, underwriting, operations, and regulated financial environments.
Explore Financial Services →03Legal
Confidential client information, legal research, document workflows, vendor AI, and professional-responsibility boundaries.
Explore Legal →04Education
Student records, EdTech vendors, institutional AI use, learning workflows, and third-party data handling.
Explore Education →05Technology
AI-enabled products, engineering use, agents and APIs, customer data, software supply chains, and internal shadow AI.
Explore Technology →Industry pages are educational. Exact legal, regulatory, contractual, and security requirements depend on the organization, jurisdiction, data, system, and use case in scope.