Honua
// AI assurance

AI assurance assessment.

Review the scope, status and evidence behind Honua’s AI security assessment.

Assessment recorded: 2026-10-25 · Review due:

Assessment in progress. No installed release is qualified by this assessment. This dated snapshot must be reviewed after the due date.

Assessment scope

Honua Server; Studio / Console; SDK agent integrations; DevOps agent; Deployment infrastructure; Development-agent workflows. We assess agent permissions and access boundaries within supported deployments.

Excluded: Cross-tenant isolation; External certification; Unconfigured model providers.

Customer-managed deployments require operator evidence for identity configuration, provider terms, network restrictions, secrets, retention and recovery. Any Honua-managed deployment requires its own operational evidence.

Framework alignment status

Honua is assessing its AI capabilities against the frameworks below. These mappings identify work to verify; they do not establish framework equivalence, full compliance, or certification. Honua does not claim ISO/IEC 42001 certification or FedRAMP authorization.

Frameworks and assessment status
FrameworkVersionStatusCoverage
NIST AI RMF1.0 (2023)Assessment in progress4 assessment topics mapped; verification pending
NIST Generative AI ProfileAI 600-1 (July 2024)Assessment in progress12 assessment topics mapped; verification pending
NIST agent identity concept paperDraft, February 2026Assessment in progress5 assessment topics mapped; verification pending
OWASP Top 10 for Agentic Applications2026 (December 9, 2025)Assessment in progress10 assessment topics mapped; verification pending
ISO/IEC 420012023Assessment in progress1 assessment topic mapped; verification pending
NIST SP 800-53Rev. 5, catalog release 5.2.0Assessment in progress20 assessment topics mapped; verification pending

The NIST agent identity concept paper is a draft with five focus areas: identification, authorization, delegation, logging and data flows. It is distinct from the broader AI Agent Standards Initiative. ISO clause-level assessment awaits authorized standard text; SP 800-53 individual controls and enhancements require tailoring.

Thematic draft mapping of functions, risk categories, focus areas and control families. No framework equivalence or clause-level conformance is asserted.

Control assessment

AI controls and evidence collection
ControlAreaVerificationEvidence
AI-01Governance and accountabilityPendingEvidence collection pending
AI-02AI inventory and data flowsPendingEvidence collection pending
AI-03Provider transport and disclosurePendingSource: server
AI-04Agent identity and delegationPendingSource: mcp; Source: console
AI-05Protected actions and human approvalPendingSource: approval
AI-06Untrusted context and outputPendingSource: studio; Source: sdk
AI-07Worker containment and supply chainPendingEvidence collection pending
AI-08Budgets and bounded executionPendingSource: server; Source: sdk
AI-09Audit and incident reconstructionPendingSource: console
AI-10Quality and impact evaluationPendingEvidence collection pending
AI-11Incident response and recoveryPendingEvidence collection pending
AI-12Qualification and truthful claimsPendingEvidence collection pending

Public evidence

The following links pin inspected source versions. They demonstrate inspectable implementation locations, not successful model evaluations or installed deployment behavior. Runtime qualification, model evaluations, operational exercises and independent review remain pending. No qualification receipts are available from this assessment yet.

Download the assessment mapping (JSON). The download includes framework topics, control mappings, dates and the same public source references.

What remains to verify

Provider disclosure policies, delegated authority, protected actions, untrusted context, execution limits, audit records, supply-chain integrity, recovery and geospatial correctness require scoped verification. Management-system approval, training and independent assessment evidence are also pending.

Enabling external models can send prompts, supplied context, report summaries or imagery to the configured provider. Operators must approve the destination and data handling for each enabled use case.

Material changes to models, tools, policies or deployment configuration require reassessment. Missing, skipped, stale and inconclusive results do not count as passes.

Request restricted assessment material through security@honua.io. Availability depends on completion and disclosure review.