Conveyor, Vanta, and Wolfia are the strongest answering-side picks; Whistic and SecurityScorecard lead on the sending side. But every accuracy number here is self-reported, so the honest comparison is evidence handling and human gates.
That answer needs unpacking, because "best" depends on which chair you're sitting in, and because this market's marketing runs a good two years ahead of its proof.
Which side of the questionnaire are you on?
Two motions, one market. On the answering side you're the seller: a prospect drops a 300-question spreadsheet into your deal and someone has to fill it in. Conveyor, Vanta, Secureframe, Vendict, and Wolfia live here, along with the RFP platforms (Loopio, Responsive) that treat security questionnaires as one more document type. On the assessing side you're the buyer, sending questionnaires out to your own vendors and then drowning in what comes back. That's SecurityScorecard, Whistic Assess, Secureframe's Comply AI for VRM, and Drata's third-party risk tooling.
Trust centers sit between the two. Publish your security posture once, in public, and in theory fewer questionnaires get sent at all. SafeBase built that category before Drata bought it; Conveyor, Vanta, and Whistic each sell a version now. Whistic goes furthest, marketing a single platform that covers both sides of the assessment through its Trust Center Exchange.
The split matters because the failure modes differ. An answering agent makes statements about your security to a counterparty. An assessing agent summarizes someone else's evidence for your risk call. Both can be wrong. Only one of them can be wrong inside your contract.
How bad is the pain, honestly?
Here's the uncomfortable bit: nearly every statistic in this space comes from a vendor selling the fix. SafeBase, pre-acquisition, estimated a manual questionnaire takes about three hours and costs a startup close to $200 each. The Ponemon figure you'll see everywhere, 8.5 hours a week on compliance and vendor assessment work, circulates almost entirely through vendor blogs; we couldn't locate the primary study. Arphie's glossary claims large security teams face 500-plus questionnaires a year at 200 to 400 questions apiece. Secureframe says customers save 35 hours a month. Vanta says up to 5x faster.
None of that is independent research.
All of it points the same way, though. Questionnaires eat real weeks, and they hurt deal velocity at least as much as they hurt the security team. If you're writing the business case, treat these numbers as directional and measure your own baseline first, the same discipline we push in what AI security actually costs.
The comparison, with claims labeled the way they deserve
One column matters more than the accuracy claim itself: what stands behind it, and who checks the output before it ships. Every figure below is self-reported. There is no independent benchmark of any of these tools. Not one.
| Tool | Side | AI approach | Headline claim (self-reported) | Human gate | Ownership / funding |
|---|---|---|---|---|---|
| Conveyor | Answering + trust center | Named agents ("Sue" for security reviews, "Phil" for RFPs); per-answer citations to source docs | "95%+ accuracy"; hallucinations "less than 0.01%" | Confidence scores flag answers for review | $40M raised; $20M Series B, June 2025; 480+ customers incl. Atlassian, Zendesk |
| Vanta | Answering | Exact-match retrieval first; generative AI only for gaps, anchored to live policies | Answers "80% or more" automatically; "95% acceptance rate" | Cited responses queued for review | $150M Series D at $4.15B valuation, July 2025 |
| SafeBase (Drata) | Trust center + answering | AI trained on your security docs; Chrome extension; Slack, Teams, Jira | No public accuracy figure | SMEs approve or edit drafts | Acquired by Drata for $250M, Feb 2025 |
| Secureframe | Both sides | "Trust AI" over Comply data; Comply AI reads incoming SOC 2s for buyers | "Save 35 hours per month" (a time claim, not accuracy) | Suggested answers for human review | ~$79M raised |
| HyperComply (SecurityScorecard) | Both sides | "RespondAI" drafting | Cuts questionnaire workload "by 92%" | Human verification backstop | Acquired Sept 2025, price undisclosed |
| Wolfia | Answering | Citation to the exact sentence in your corpus; claims auto-fill across 45+ portals | No accuracy %; pitch is citations + unlimited users | Gaps routed to SMEs | Funding not public; cites Amplitude, ThoughtSpot as customers |
| Vendict | Answering | Generative AI over your existing compliance corpus; sold via AWS Marketplace | "Weeks to mere hours" | Not detailed publicly | ~$20M raised, per the company |
| Whistic | Both sides + trust center | AI over vendor security data; 40+ standard questionnaires (SIG, CAIQ, ISO) | Summaries and executive reports; no accuracy % | Not detailed publicly | Not verified this pass |
Last verified: September 5, 2026. Ownership and funding are from company announcements; capability and accuracy claims are from each vendor's own materials.
Everyone claims 95 percent. Nobody has to prove it.
Conveyor says its answers are 95%+ accurate with a hallucination rate under 0.01%, and that it's "at least 2x as accurate" as rival tools. Vanta says AI handles 80% or more of questions with a 95% acceptance rate. HyperComply's pitch is a 92% cut in workload. These numbers can't all be measuring the same thing, none of them is audited, and every one was published by the team whose bonus depends on it.
That's fine for a landing page. It's not fine for answers that get pasted into DPAs and security exhibits, where a wrong "yes" is a representation someone can hold you to. Pricing has the same opacity problem: almost nobody in this market publishes a rate card. The one public sticker we found, AutoRFP.ai's Scale plan at $899 a month billed annually, surfaced through a third-party roundup rather than the vendor's own page.
So run the test yourself. Feed each finalist a hundred questions you've already answered, drawn from your own corpus, and count the corrections. An afternoon of grading beats a year of regret.
Follow the acquisitions. They tell you how this ends.
Drata paid $250M for SafeBase in February 2025 and now markets the pairing as "Unified Agentic Trust Management." SecurityScorecard bought HyperComply in September 2025, which is the more telling deal: a buyer-side ratings platform swallowing a seller-side answering tool. The two motions are converging into single platforms.
Money is chasing the same thesis. Conveyor raised its $20M Series B in June 2025 to push named agents at the problem. Vanta raised $150M at a $4.15 billion valuation a month later. Loopio, the RFP incumbent, shipped Loopio for Copilot 365 in October 2025 so answers surface inside Microsoft Copilot itself. Beneath them, a seed-stage layer (Arphie with a $2.9M General Catalyst round, plus SiftHub, Steerlab, Inventive AI, Tribble) is fighting over the same keywords.
The likely endgame: standalone questionnaire tools become features of compliance and TPRM platforms. Buy accordingly, and weigh your shortlist's acquirer risk before you build workflow around anyone.
The agent answering your questionnaire is itself a risk
Think about what these tools need in order to work. Wide read access to policy repositories, past questionnaires, audit reports, sometimes wikis and ticketing systems. Browser extensions that act inside third-party portals under your name. Output that lands in contracts.
A questionnaire answer isn't a chat reply. It's a representation to a counterparty, and security exhibits get incorporated into agreements. If the AI writes "yes, we encrypt at rest" and one legacy system doesn't, you've made a misstatement at machine speed. Legal commentators have been blunt that fabricated compliance information can turn into disputes, fines, remediation costs, and insurance claims. The vendors know it, which is why citations, confidence scores, and approval gates show up in every pitch. Those are real mitigations. They're also vendor-graded homework.
This is a small, sharp version of the guardian-agent problem: a semi-autonomous agent with broad data access, acting externally, whose mistakes carry legal weight. It may be the first place a mid-market company feels the need for AI oversight at all. We've mapped that category in the guardian agent vendor map, and it's the layer AccuroAI works in — not answering questionnaires, but governing the AI that does, with workforce AI governance that inspects prompts inline (40+ data classifiers, under 38ms at p99) so an over-permissioned agent can't quietly ship your unredacted pentest report to a prospect's portal.
The buyer side has the mirror problem. Secureframe's Comply AI for VRM and Whistic AI both summarize incoming vendor evidence with AI. A hallucinated summary of a vendor's SOC 2 doesn't create contract exposure. It just quietly skews your risk decision instead.
Running the shortlist
- Demand per-answer citations into your own corpus, not generic generation. Several vendors advertise this (Conveyor, Wolfia, Vanta among them); make them demonstrate it on your documents.
- Bake-off with 100 questions you've already answered. Count corrections, not demo applause.
- Ask exactly what the agent can read and where it can act. Scope portal access and knowledge-base ingestion the way you'd scope any privileged identity.
- Put the vendor through the same wringer they help you survive: our 50-question AI vendor security questionnaire and 30 procurement questions for enterprise agents exist for exactly this.
- If this is your first workforce AI purchase, read the workforce AI security buyer's guide before you sign anything.
Questions that keep coming up
Is there any independently verified accuracy data?
No. Every accuracy figure in this market (Conveyor's 95%+, Vanta's 95% acceptance, HyperComply's 92% workload cut) was published by the vendor itself, and no neutral benchmark exists. Until one does, your own bake-off is the only number you can trust.
Trust center first, or questionnaire automation first?
If you receive more than a handful of questionnaires a month, do both, trust center first. Deflecting a questionnaire beats answering it fast. The automation then handles whatever the trust center can't deflect.
We send and receive questionnaires. Who covers both?
Whistic and Secureframe are the clearest both-sides platforms today, and SecurityScorecard is building toward it after the HyperComply deal. Expect more. The market is consolidating in exactly that direction.
Do AI-drafted answers need legal review?
Treat them like any other external representation. Route anything with contractual weight (encryption, breach history, subprocessors, certifications) through the same review a human-written answer would get. The AI changed the speed, not the liability.