Secure Attributes helps AI, SaaS, HealthTech, and regulated technology vendors prepare the evidence buyers need before security questionnaires, procurement reviews, legal scrutiny, and enterprise approval pressure slow the deal.
SOC 2 may get you into the conversation. AI vendor risk evidence helps you survive the next layer of review.
Enterprise buyers are no longer only asking whether your company has standard security controls. They are asking how your AI systems use data, make decisions, handle oversight, rely on third parties, and create risk inside their environment.
That is where AI vendors get stuck — not because the product is weak, but because the evidence is not organized in a way security, procurement, legal, and risk teams can approve.
AI vendor risk reviews are moving beyond generic security questionnaires. Buyers want proof that AI systems are governed, explainable, controlled, monitored, and safe to use inside their organization.
What AI features exist, what decisions or outputs they support, and where those outputs affect users, customers, patients, employees, or business workflows.
What data is collected, processed, retained, logged, shared, or exposed through models, APIs, copilots, third-party tools, or internal workflows.
Who is accountable for AI oversight, review, escalation, exceptions, human intervention, approvals, and control maintenance.
What controls prevent unsafe behavior, unsupported decisions, unauthorized data exposure, unreviewed outputs, or unmanaged AI use.
How AI behavior, performance, drift, exceptions, incidents, and governance issues are reviewed after deployment.
When AI outputs require review, when systems must stop, when humans intervene, and how exceptions are documented.
What documentation, logs, registers, mappings, policies, diagrams, and governance artifacts can be provided during review.
How your team can prove the AI system is governed, controlled, traceable, and aligned to enterprise risk expectations.
We help organize the documents, maps, summaries, and control narratives buyers expect when AI risk becomes part of the security and procurement review process.
The goal is not to overwhelm the buyer with more paperwork. The goal is to give them clear, defensible answers that reduce friction and build trust.
The assessment produces practical artifacts your team can use during enterprise security review, vendor risk assessment, procurement, legal review, and buyer follow-up.
A structured package of AI governance, security, privacy, oversight, and control evidence prepared for enterprise buyer review.
A clear register of AI use cases, risks, owners, controls, business impacts, and review priorities.
A buyer-ready summary of AI data inputs, outputs, access, storage, logging, integrations, third parties, and exposure points.
A practical map of AI controls aligned to buyer expectations, security review, vendor risk, governance, and relevant frameworks.
A clear explanation of how your AI system is governed, controlled, monitored, reviewed, and escalated when needed.
Support preparing responses to AI-related security questionnaires, procurement requests, governance questions, and follow-up concerns.
This assessment is designed for AI-enabled vendors that need to pass enterprise review, reduce procurement friction, and give buyers confidence that AI risk is understood and controlled.
For AI-enabled platforms selling into enterprise customers, security teams, procurement groups, and regulated buyers.
For companies using AI around PHI, clinical workflows, ambient documentation, patient data, or decision support.
For teams selling into financial services, healthcare, government, public-sector, or compliance-heavy organizations.
For teams already facing buyer questions, stalled security review, legal escalation, or unclear AI governance evidence requests.
We’ll help identify what AI governance evidence your buyers are likely to request — and what needs to be prepared before security, procurement, legal, or audit scrutiny slows approval.
Best fit for AI SaaS vendors, HealthTech companies, regulated technology teams, and AI-enabled vendors preparing for enterprise procurement, vendor risk assessment, security review, legal scrutiny, or buyer approval.
