Map the system
Evaluate AI systems, agents, vendors and data flows in context.
Independent AI security & governance
Independent assessments of AI systems, agents, vendors and sensitive-data flows. Get evidence-backed findings and clear remediation priorities.
Evaluate AI systems, agents, vendors and data flows in context.
Assess evidence against relevant frameworks and requirements.
Get clear findings and practical remediation priorities.
01 / WHAT BROUGHT YOU HERE?
You do not need to know which assessment package you need. Start with the review trigger, system, or risk that brought you here.
Turn architecture, data flows, safeguards, vendor dependencies, and limitations into evidence a reviewer can follow.
Explore customer diligence →02Map where regulated or confidential information reaches AI services and determine what controls and evidence actually cover it.
Explore data-risk review →03Assess agent identity, authority, prompt-injection exposure, tools, data access, external actions, and containment.
Explore agent security →04Review the provider, data boundary, access model, evidence, contractual assumptions, and security dependencies around the use case.
Choose your industry →05Start with practical AI data-safety guidance, then inventory approved and unmanaged use before deciding whether formal assessment is needed.
Start with the free guide →02 / THE REVIEW TRIGGER
A SOC 2 report, policy set, or completed questionnaire may not answer the AI-specific questions now appearing in customer diligence, procurement, compliance, and security review.
You may not have one defensible inventory of every AI product, model, provider, integration, and workflow.
Reviewers need to understand what information reaches which AI providers—and under what controls.
Existing artifacts may not explain the AI-specific controls, decisions, and residual risks the reviewer is asking about.
03 / THE DELIVERABLE
Reviewer-ready evidence
The assessment turns a dispersed set of systems, data flows, controls, and evidence into a coherent, signed record. Deliverables are tailored to engagement scope—not represented as universal industry requirements.
AI security evidence package
01Executive summary✓
02AI system inventory✓
03Data-flow documentation✓
04Security findings✓
05Risk prioritization✓
06Industry-relevant mapping✓
07NIST AI RMF mapping✓
08Remediation recommendations✓
09Evidence references✓
10Assessor sign-off✓
Findings, limitations, and evidence references are documented within the agreed scope.
Assessment basis
Evidence is labeled by source and review method so a receiving reviewer can distinguish direct observation from supplied documents, stakeholder representations, and work that was not tested.
Directly inspected artifacts, settings, demonstrations, or workflows.
Documentation provided by the client or another in-scope source.
A stakeholder statement that was not independently established.
A procedure or condition the written scope did not independently validate.
04 / Engagement
The engagement follows a documented path from scope and evidence review through findings, human review, and final delivery.
20-minute call to determine systems, entities, data flows, evidence, and review requirements.
Ayliea reviews the scoped environment and the evidence provided.
Findings, mappings, limitations, and remediation recommendations are documented.
Material findings and conclusions receive accountable human review before delivery.
You may provide the assessment during relevant customer, partner, compliance, or security diligence.
The receiving organization determines what evidence it requires and whether the assessment is sufficient for its review.
05 / WHO IT IS FOR
Primary engagement
Building, buying, or operating AI where sensitive data, regulated workflows, customer trust, or third-party review make unsupported answers expensive.
Explore industriesHealthcare, financial services, legal, education, and technology teams face different data boundaries, review triggers, and regulatory expectations.
Explore industry pages →Clear evidence presentation for professionals evaluating AI use and related safeguards.
06 / Independent review
Compliance software can help organize controls, evidence, and workflows. An independent assessment applies contextual professional review to that material.
Yes
Yes
Yes
Internal
Collected
Evaluated
Varies
Varies
Core scope
Internal
No
Human review
Varies
Workflow-driven
Documented
Internal
Workflow-driven
Evidence-backed
07 / METHODOLOGY
The assessment is evidence-led and maps relevant findings to established AI security and governance frameworks—such as NIST AI RMF and ISO/IEC 42001—plus applicable industry requirements when they belong in scope, rather than to a proprietary standard. Evidence-quality decisions and professional judgments remain documented, attributable, and subject to accountable human review.
Explore the methodology08 / ACCOUNTABLE REVIEW
Material findings and conclusions receive human review. The report identifies its evidence basis, limitations, scope, and sign-off so a customer can understand what was established and what was not.
About Ayliea and its assessment practice →09 / BEFORE YOU BOOK
Review the structure, evidence presentation, findings, framework mappings, limitations, and assessor sign-off before booking a call.
See a sample report10 / Engagement levels
Final pricing depends on the number of AI systems, entities, evidence requirements, frameworks, and overall engagement complexity.
11 / Free resources
Use Ayliea’s practical resources to improve AI and cybersecurity decisions now. No assessment purchase required.
A 60-second decision guide for employees handling company information around AI tools.
Open the guide →AI GOVERNANCEA practical starting point for defining approved tools, restricted data, responsibilities, and acceptable use.
Use the template →CYBERSECURITYTwelve foundational controls to review, prioritize, and assign before gaps become incidents.
Open the checklist →RESOURCE HUBA complete four-week campaign with employee guidance, manager actions, and print-ready resources.
Explore all resources →12 / Buyer questions
The engagement can produce a signed assessment with an executive summary, scoped AI inventory, data-flow documentation, evidence-backed findings, risk prioritization, framework references, limitations, and remediation recommendations. Exact contents depend on the agreed scope.
You may provide the assessment as evidence during relevant security, vendor-risk, procurement, regulatory, or partner diligence. Each reviewer decides what evidence it requires, who may rely on the report, and whether the assessment is sufficient.
A scope may include document review, stakeholder interviews, configuration inspection, observation, demonstrations, and sampling. The written scope states which procedures were performed and which were not.
Not automatically. Penetration testing, source-code review, model-performance evaluation, AI red-teaming, and continuous monitoring are excluded unless separately scoped and documented.
The report identifies unavailable, stale, conflicting, client-represented, and not-tested evidence. Conclusions are qualified when evidence quality or coverage limits confidence.
The report is point-in-time. It states its assessment date or period, evidence cutoff, scope, and change-after-assessment boundary. Material changes may require an update or new assessment.
Do not send regulated records, personal data, credentials, questionnaires, or assessment evidence through the booking page or initial email. Ayliea avoids receiving unnecessary sensitive data, including PHI, and establishes engagement-specific transfer arrangements in writing.
Ayliea is an external, paid assessor rather than the organization being assessed or its regulator. Independence does not imply governmental authority. Potential conflicts are addressed during scoping, and commercial outcomes are not guaranteed.
Factual errors and evidence references can be corrected through a documented review process. A request to change a commercial outcome does not require the assessor to change a supported professional conclusion.
Timing depends on the agreed scope, system count, entities, procedures, evidence readiness, and stakeholder availability. The written scope sets the expected assessment period and delivery plan before work begins.
AI Security Reviews start at $3,500; AI Security Assessments start at $7,500; Comprehensive AI Security Assessments start at $15,000; Enterprise / Complex Scope engagements are custom-scoped. Final pricing is confirmed in a written scope before work begins.
No. Ayliea does not provide a government-backed HIPAA certification, certify that an organization is HIPAA compliant, or guarantee compliance. Relevant findings may be mapped to applicable HIPAA Security Rule safeguards.
Ayliea maps and aligns relevant findings to established AI security frameworks: NIST AI RMF 1.0, ISO/IEC 42001:2023, HIPAA Security Rule, OWASP LLM Top 10, MITRE ATLAS. These references frame the findings so a receiving reviewer can place them in a familiar context. Mapping and alignment are not certification or endorsement—Ayliea is not a certification body—and professional judgments and evidence-quality decisions remain explained and attributable to the assessor.
Next step
Use a 20-minute scoping call to clarify what the reviewer is asking for, what belongs in scope, and whether an independent Ayliea assessment is a fit.