If you sell software to mid-market or enterprise buyers, you already know the drill. A deal gets to security review, a 300-question spreadsheet lands in your inbox, and someone on your team loses a week copying answers out of last quarter's version. So who has the best AI agent for security questionnaires? The honest answer is that it depends on where your answers live today and how your compliance program is set up. This guide covers what these agents actually do, the tools worth shortlisting in 2026, and the cases where building your own agent makes more sense than buying one.
What an AI agent for security questionnaires actually does
Modern questionnaire agents go beyond the old "answer library" approach of matching questions to canned responses. A good one ingests your existing material (past questionnaires, policies, SOC 2 reports, trust center content), retrieves the relevant evidence for each incoming question, and drafts an answer with a citation back to the source. The better tools also handle the annoying logistics: parsing whatever format the questionnaire arrives in, filling out buyer portals like OneTrust or Whistic directly, flagging low-confidence answers for human review, and keeping the underlying knowledge base fresh as your controls change.
That last part matters more than the drafting. Any decent LLM can write a plausible answer to "Do you encrypt data at rest?" The value is in grounding that answer in your actual documentation so a security reviewer on the other side can verify it, and so you are not accidentally attesting to controls you do not have.
The leading tools in 2026
We have not run these tools in production ourselves, so what follows is based on how each vendor positions its product and what it is known for in the market, not on our own benchmarks. All six are real, active products as of mid-2026.
Conveyor
Conveyor is probably the best-known standalone player. It is a dedicated customer trust platform rather than a bolt-on to a compliance suite, and it has leaned hard into the agent framing: its AI agent (the company calls it Sue) drafts questionnaire answers with cited sources, auto-completes portal-based questionnaires, and now powers an "agentic" trust center where prospects can ask questions and get cited answers directly. Conveyor advertises very high first-pass accuracy and counts recognizable software companies among its customers. If questionnaire response is a standalone, high-volume problem for your sales team, this is the obvious first demo to book.
Vanta Questionnaire Automation
Vanta is a compliance automation platform first (SOC 2, ISO 27001, and a long list of other frameworks), and its questionnaire automation is powered by the same AI agent that runs across the rest of the product. The pitch is that answers get generated from the compliance evidence and knowledge base you already maintain in Vanta, so responses stay consistent with your actual posture. It makes the most sense if you already run your compliance program there; buying Vanta only for questionnaires would be an expensive way to solve one problem.
SafeBase
SafeBase built its reputation on trust centers, and its questionnaire strategy reflects that: the best questionnaire is the one you never receive because the buyer self-served from your trust center. Its AI questionnaire assistance drafts cited answers from your trust center content and knowledge base when questionnaires do arrive. Drata acquired SafeBase in early 2025, so it now sits alongside a full compliance platform, though it continues to operate as a product in its own right. A strong fit if deflection through a public trust center is your primary goal.
Secureframe
Secureframe is another compliance platform with questionnaire automation built in. Its AI drafts answers from the controls, policies, and evidence already stored in the platform, which keeps responses current as your posture changes. Like Vanta, the questionnaire feature is most compelling for teams already managing compliance inside Secureframe rather than as a standalone purchase.
Whistic
Whistic is interesting because it works both sides of the table. It automates inbound questionnaire responses from a knowledge base of your documents and past answers, and it also handles the outbound case: assessing your own vendors. If your team both answers questionnaires and sends them, consolidating on one platform has real appeal.
HyperComply
HyperComply pairs AI-drafted answers with a human expert review layer, which appeals to teams that want speed without fully trusting an unsupervised model on security attestations. SecurityScorecard acquired HyperComply in late 2025, folding it into a broader supply chain risk platform. The product remains active, but if vendor stability matters to you, it is worth asking how the roadmap looks post-acquisition.
How to choose between them
The market splits fairly cleanly into two camps. Standalone trust platforms (Conveyor, SafeBase, HyperComply, and Whistic for the response side) treat questionnaires and trust centers as the whole product. Compliance platforms (Vanta, Secureframe) treat questionnaires as one feature of a larger GRC suite.
If you already pay for a compliance platform, start by evaluating the questionnaire feature you may already own. If questionnaire volume is high and compliance tooling is settled elsewhere, the standalone tools usually go deeper on the actual response workflow: portal auto-fill, citation quality, and reviewer handoff. Whichever camp you shop in, test with your own ugliest questionnaire, not the vendor's demo file, and pay attention to how the tool behaves when it is unsure. An agent that confidently invents an answer about your encryption practices is worse than no agent at all.
When a custom-built agent beats an off-the-shelf one
For most SaaS companies with a standard inbound questionnaire problem, an off-the-shelf tool is the right call. The vendors above have seen thousands of questionnaires and their parsing and portal integrations reflect that. But we regularly scope custom questionnaire agents for teams that fall outside the standard shape, and the pattern is consistent. Custom wins when:
Your source of truth is not questionnaire-shaped. If your answers live across Confluence, Notion, a policy repo in Git, and three years of Slack threads, a custom retrieval pipeline over your actual systems will outperform a tool that expects you to build and maintain its knowledge base by hand.
The workflow is nonstandard. Maybe you are on the buyer side and want an agent that reads incoming vendor responses and flags weak answers. Maybe questionnaires arrive through a customer portal no vendor integrates with. Maybe you want the whole flow to live in Slack with an approval step routed to your security lead. Off-the-shelf tools bend only so far.
The economics or data constraints do not fit. Per-seat and platform pricing stacks up at volume, and some organizations cannot send security documentation to a third-party SaaS at all. A custom agent runs in your own cloud, on your model provider of choice, and you own every line of it.
That is the kind of build we do at Codestreaks. We are an AI studio in Austin, TX, and we scope this type of agent as a fixed-price project (typically in the $8,000-$60,000 range depending on integrations and review workflow) delivered in 4-8 weeks, with 100% code ownership. If your questionnaire problem does not fit the tools above, our AI agent development service page explains how scoping works, and every build ships with the eval and guardrail setup from our guide on how to test AI agents. We respond to inquiries within two business days.
The short answer
If you want one name: Conveyor for a dedicated, high-volume questionnaire workflow; Vanta or Secureframe if you already run compliance there; SafeBase if trust-center deflection is the goal; Whistic if you also assess vendors; HyperComply if you want humans in the loop. And if your documentation, workflow, or data constraints do not match any of those shapes, a custom agent built against your own systems is a solved, well-scoped problem in 2026, not a moonshot.