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Passing the Security Questionnaire: Voice AI for InfoSec Teams

The security questionnaire items voice AI vendors must answer — access, protection, retention, proof — plus the voice-specific questions InfoSec misses.

Getting voice AI through a security questionnaire comes down to mapping every line item to four questions — who can access the data, how is it protected, how long is it kept, and can you prove it? Answer those with specifics and evidence rather than logos, and most reviews move quickly; this guide walks the items that actually appear and the voice-specific ones InfoSec often misses.

Why voice AI earns a longer questionnaire

A text tool captures typed input. A voice deployment captures conversations — spoken by real people, sometimes in a lobby or over a phone line, often containing personal data nobody planned to share. That raises the scrutiny, and it should.

Reviewers want to know where the audio goes, whether it is stored, and who can replay it. If you already understand what SOC 2, GDPR, HIPAA and the rest require, skip the frameworks lecture and read the plain-English companion instead — this post assumes that knowledge and focuses on the questionnaire itself.

The good news: the underlying controls are the same ones any SaaS reviewer already knows — access, encryption, retention, assurance. Voice simply adds a data type — audio — and a few questions that generic templates were never written to ask. Cover both and the review is routine.

The questions that actually appear

Most enterprise questionnaires cover the same ground, phrased a dozen different ways. Here is how a strong voice AI vendor answers each — and what to attach as proof.

Access and identity

Who can log in, and how? Look for single sign-on via OIDC and SAML, with connectors for Azure AD, Google Workspace and Okta. That means no separate password store to manage and revoke.

What can each user do? Role-based access control with four roles — admin, editor, viewer and auditor — keeps the person who tunes prompts separate from the person who only reviews logs. Map those roles to your own joiner-mover-leaver process in the answer.

Data protection and isolation

Is data encrypted? Encryption in transit and at rest is the baseline; state it plainly.

Is our data separated from other customers'? Tenant isolation is the answer InfoSec is listening for. One customer's conversations, knowledge base and configuration must never be reachable from another tenant.

In a shared platform, that separation is the difference between a contained incident and a cross-customer one — so ask how it is enforced, not just whether it exists.

Retention and deletion

How long do you keep our data, and can we control it? Configurable retention with automatic purge lets you set a window that matches your own policy and delete on a schedule rather than by hand. The right answer is a setting you control, not a fixed number the vendor imposes.

Follow it with the deletion question reviewers really care about: when we ask you to delete a record, or a data subject exercises their rights, what actually happens and how fast? Automatic purge plus a documented process is the answer that satisfies both auditors and regulators.

Auditability and assurance

Can you prove any of this? Audit logs record who did what and when. Behind them sits the vendor's own SOC 2 and ISO 27001 posture and regular penetration testing — the evidence that the security programme runs continuously, not just on questionnaire day.

Residency and model training

Where does our data live? Data residency in-region — US, EU or India — answers the location question directly. For the strictest environments, on-prem and air-gapped deployment is available, including the models themselves, so nothing leaves your boundary.

Will you train on our data? The line that matters: the platform never trains public models on customer data. Get it in writing.

The voice-specific questions InfoSec forgets to ask

Standard questionnaires were written for SaaS apps, not for a voice that greets people out loud. These are the items worth adding yourself.

  • Are recordings and transcripts stored — and can that be switched off? Ask whether audio and transcripts are retained, where they sit, for how long, and whether storage can be disabled entirely.
  • Is anything biometric captured? Presence detection senses that a person has approached so the system can greet them. That is detection of presence, not identification of who someone is — but confirm it explicitly rather than assuming.
  • Does grounding data stay inside our boundary? The knowledge base that grounds the assistant's answers should remain within the customer's boundary, not get copied somewhere you cannot see.
  • Who are the sub-processors? Request the full list. Every third party in the pipeline is part of your risk surface.

The evidence to request up front

Do not accept marketing language where an artefact will do. Ask for these at the start of the review, not the end:

  • SOC 2 and ISO 27001 reports — available on request.
  • A Data Processing Agreement — to paper the GDPR and CCPA-aligned commitments.
  • A data-flow diagram — showing where audio, transcripts and grounding data travel.
  • Retention settings — the actual configuration screen, not a promise.
  • The sub-processor list — named parties, not "industry-standard providers".
  • A signed BAA — if your use touches healthcare. The platform is HIPAA-ready and signs BAAs for non-clinical scope.

Reports and the DPA come through the vendor's sales team — you can request them here. A vendor that hands them over quickly is telling you something; so is one that stalls.

How to answer without overpromising

The strongest questionnaire responses are boring and precise. Name the control, name the evidence, done.

Separate what is standard from what is available. Encryption, tenant isolation, SSO and audit logs are standard. On-prem and air-gapped deployment, data residency in a specific region, and a signed BAA are available — configured per deployment. Blurring the two is how vendors lose trust mid-review.

It also helps to answer in the reviewer's own language. If their template asks about "logical access controls", map that to SSO and RBAC rather than making them translate. The less work your answers create, the faster the file closes.

When something is a question rather than a claim — like whether presence detection captures anything biometric — say so and point to where it is confirmed. You can see the wider posture on the security overview, and match the controls to how the assistant actually runs on the platform. Specifics beat logos every time.

Takeaway: Treat the questionnaire as four questions — access, protection, retention and proof — insist on artefacts over adjectives, and add the voice-specific items generic templates miss: recording storage, presence versus biometrics, grounding boundaries and sub-processors.

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FAQ

Frequently asked questions

Voice-first AI greets, listens and answers out loud, working on kiosks and in physical spaces as well as the web — reaching people a text chatbot cannot.
It uses retrieval-augmented generation (RAG): answers are grounded in your own documents, with citations, and it escalates to a human when unsure.
Kuyil supports 50+ languages, with automatic detection and mid-conversation switching.
On voice kiosks in lobbies and public spaces, and as a voice + text assistant on your website — all from one shared knowledge base.
Yes — tenant isolation, encryption, configurable retention and audit trails, with SOC 2 / ISO 27001 posture and HIPAA-ready options.
Under a second, so conversations feel natural rather than laggy.