Observed
The assessor directly inspected an in-scope artifact, setting, workflow, or demonstration.
Assessment methodology
Evidence-led review. Established frameworks. Explained judgment.
Ayliea runs an independent, evidence-led AI security assessment and maps relevant findings to recognized frameworks—not to a proprietary standard, and not as a substitute for professional judgment.
Independent assessmentFramework-mappedEvidence → Findings → Signed conclusion
THE ASSESSMENT
Methodology is supporting proof. The human-led assessment is the product.
The assessment evaluates the AI environment, sensitive-data flows, safeguards, and evidence, then maps relevant findings to established AI security frameworks. Ayliea is not a certification body; mapping and alignment describe how findings relate to those frameworks, not a certification against them.
Framework references support consistency and comparison. A methodology cannot decide whether supplied evidence is sufficient or interpret business context on its own; those judgments are explained in the report and attributable to the named assessor.
01Control domain
02Evidence
03Finding
04Severity
05Framework mapping
06Signed conclusion
STRUCTUREDefined control domains, sub-controls, and a documented scoring approach
TRACEABILITYEvidence references connected to findings
CONTEXTProfessional interpretation of impact and limitations
ACCOUNTABILITYNamed-assessor conclusion and sign-off
Evidence quality
A conclusion is only as clear as its evidence state.
Completed reports identify how each material statement was established and qualify conclusions when evidence is incomplete, stale, conflicting, or unavailable.
Supplied
The client or a provider supplied documentation that the assessor reviewed within the agreed scope.
Represented
A stakeholder described a practice or condition that was not independently established by other evidence.
Not tested
The item was in scope for discussion, but technical validation or another procedure was not performed.
Not assessed
The item was outside the agreed scope, unavailable, or intentionally excluded from the conclusion.
Judgment and limitations
Reproducible does not mean judgment-free.
Severity
The report explains impact, likelihood, evidence confidence, and contextual factors rather than presenting an unexplained label.
Missing evidence
Unavailable or conflicting evidence is recorded and can limit confidence, alter severity, or leave an item not assessed.
Point in time
Every completed report identifies its assessment period or date, evidence cutoff, and change-after-assessment boundary.
Assessor override
Any departure from a mechanical result should be explained with evidence, context, and a named professional judgment.
Framework positioning
Relevant references, used carefully.
NIST
AI risk management across Govern, Map, Measure, and Manage functions. Findings are mapped to AI RMF functions. NIST does not endorse Ayliea or any assessor.
ISO/IEC
AI management system (AIMS) requirements. Controls and evidence are assessed against ISO/IEC 42001 concepts. Mapping is not certification; Ayliea is not a certification body.
HHS
Safeguards for electronic protected health information. Relevant findings are mapped to applicable safeguards. Not a HIPAA certification or legal opinion.
OWASP
Top security risks for LLM applications. Used to frame AI-specific application security findings. OWASP does not endorse Ayliea.
MITRE
Adversarial threat landscape for AI systems. Used to describe AI-specific adversarial threats where relevant. MITRE does not endorse Ayliea.
Frameworks we map to
Established standards, not a proprietary one.
Relevant findings are mapped or aligned to recognized AI security frameworks so a receiving reviewer can place them in a familiar context. Mapping and alignment are not certification, endorsement, or a legal opinion, and Ayliea is not a certification body.
- NIST AI RMF 1.0NIST · AI risk management across Govern, Map, Measure, and Manage functions
- ISO/IEC 42001:2023ISO/IEC · AI management system (AIMS) requirements
- HIPAA Security RuleHHS · Safeguards for electronic protected health information
- OWASP LLM Top 10OWASP · Top security risks for LLM applications
- MITRE ATLASMITRE · Adversarial threat landscape for AI systems
Next step
Have a healthcare security review coming up?
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.
- Clarify the review request
- Identify systems and evidence
- Define a defensible scope