AIVA™ is a structured governance system powered by Secure Attributes methodology — designed to help AI, SaaS, HealthTech, and regulated technology teams organize AI risk, controls, evidence, and executive reporting.
Built for teams that need more than scattered policies, spreadsheets, and disconnected evidence when enterprise scrutiny increases.
AIVA™ is not positioned as another generic GRC tool or dashboard. It is a structured AI governance system built from Secure Attributes’ methodology for organizing AI risk, evidence, controls, framework alignment, and review readiness.
The goal is to help teams move from scattered documents and reactive review responses to a clear governance structure that can support enterprise buyers, auditors, security teams, legal teams, and executives.
Most teams do not lack effort. They lack a structured system for keeping AI risks, controls, evidence, framework mappings, and buyer responses connected.
AI governance evidence is spread across spreadsheets, policies, tickets, documents, screenshots, and disconnected team folders.
Teams cannot quickly show who owns each AI system, risk, control, decision path, exception, or approval process.
Organizations know they need NIST AI RMF, ISO/IEC 42001, SOC 2, HIPAA, or EU AI Act alignment — but struggle to connect them practically.
Security, procurement, legal, and audit teams ask for evidence faster than internal teams can organize it.
Leadership cannot easily see which AI risks are controlled, which are exposed, and which actions matter most.
Teams repeatedly answer the same AI governance, vendor risk, and security questions without a reusable evidence structure.
Policies exist, but the link between AI risk, control requirements, evidence, and accountability is not clear enough.
When scrutiny arrives, teams struggle to prove how AI systems are governed, reviewed, monitored, escalated, and controlled.
AIVA™ is structured around the core governance artifacts teams need to organize risk, prepare evidence, support reviews, and communicate readiness.
Track AI use cases, business impact, data sensitivity, decision risk, ownership, controls, mitigation status, and review priority.
Map AI governance activities to NIST AI RMF, ISO/IEC 42001, SOC 2, HIPAA, EU AI Act concepts, and buyer expectations.
Organize policies, diagrams, logs, screenshots, approvals, risk decisions, vendor evidence, control records, and review artifacts.
Connect AI risks to required controls, evidence expectations, owners, framework references, and review status.
Prepare reusable buyer-ready evidence for security questionnaires, procurement reviews, legal questions, and enterprise approval.
Summarize what is ready, what is exposed, what is blocked, what needs action, and what leadership should prioritize.
AIVA™ is designed to structure the same governance logic Secure Attributes uses across AI risk reviews, vendor risk assessments, control layer blueprints, and audit-readiness engagements.
Instead of starting from a blank document every time a buyer, auditor, or executive asks a question, teams can work from a connected system of risks, controls, evidence, and reports.
AIVA™ is designed for teams that need a practical structure for managing AI governance evidence before buyers, auditors, regulators, or executives demand it.
For AI-enabled platforms preparing for enterprise customers, security review, vendor risk, and procurement approval.
For AI systems touching PHI, clinical workflows, documentation, patient data, or decision support.
For organizations facing audit, compliance, investor diligence, public-sector expectations, or legal scrutiny around AI use.
For internal AI governance teams that need a clear system to organize risk, ownership, controls, evidence, and executive reporting.
AIVA™ is being developed as a structured AI governance system powered by Secure Attributes methodology. It is designed to support readiness, evidence organization, framework alignment, and executive reporting.
Rather than overpromise automation, the focus is on creating a practical system that helps teams organize the governance work enterprise buyers and auditors actually ask for.
If your team needs a structured way to manage AI risk, framework alignment, evidence, vendor review, and executive reporting, request a preview of the AIVA™ AI Compliance Engine.
Best fit for AI SaaS companies, HealthTech vendors, regulated technology teams, and enterprise AI programs preparing for security review, vendor risk assessment, audit readiness, executive scrutiny, or regulatory oversight.
