Questionnaires stall deals. We answer them in minutes.

Cyberbase AI-native Due Diligence Questionnaire automation answers 300-question security questionnaires in minutes from your live security program — sourced, audit-ready, returned in the original file format. Your team reviews the output. They don't rewrite it.

Trusted by security teams who refuse to lose deals to a 300-question PDF

Minutes not Weeks

300 question DDQs answered fast

Sourced Answers

Every response cites a policy

No Hallucinations

Answers from your live security program

10x deal acceleration

at Augment Code

Loved by Augment Code, Robust Intelligence, Traceforce, and more

Your security team shouldn't be writing 
the same DDQ answer for the fifteenth time.

Every DDQ is 10–40 hours your security 
team won't get back.

When a 300-question security questionnaire lands in your inbox, someone senior has to open it. Then they dig through SOC 2 reports, privacy policies, prior questionnaire responses, and a half-remembered Slack thread from Q3. Then they copy-paste. Then they pray they got the right version. Meanwhile the deal sits frozen in the prospect's vendor-review queue - watching a competitor move faster.

Cyberbase icon

Answered from your live security 
program, not a playbook.

Cyberbase's Context Engine indexes your actual policies, certifications, 
and every prior questionnaire response, then answers new DDQs from the current source of truth. Every answer cites the exact document it came from. Your team reviews the output. They don't rewrite it from scratch. Questionnaires that used to eat a week land in the prospect's inbox the same day.

From inbox to sent in three steps

Upload the questionnaire

Drop any DDQ — Excel, Word, PDF, or a shared vendor portal link. Cyberbase reads the structure natively: free-text fields, yes/no grids, scored matrices, conditional branches. No reformatting. No template mapping.

Context Engine Answers

Every question gets matched against your live policies, SOC 2 and ISO 27001 evidence, DPA commitments, and every prior answered questionnaire. Cyberbase drafts the response, attaches source references, and flags anything it can't answer with confidence.

Review, edit, send

Responses come back in the original file format, ready for your team to review, not rewrite. Accept, edit, or bounce flagged items to a subject-matter expert. What used to take a week goes back the same day.

The only Due Diligence Questionnaire platform that also 
redlines your contracts and powers your 
Trust Center — from one Context Engine.

Sourced answers, never hallucinated.

The Context Engine cites the exact policy, 
SOC 2 control, or prior questionnaire response behind every answer. Auditors and prospects get traceability on demand. No hallucinations. Not now, not ever.

One platform. Three products. One brain.

DDQ automation, contract redlining, and a free-forever Trust Portal — all powered by the same Context Engine. The answer you give in a DDQ matches the DPA you sign two weeks later. No competitor has all three.

No throttling. No credits. No caps.

Vanta caps at 25–144 questionnaires/year 
by tier. Conveyor runs on credits. Cyberbase handles 250+ per month with no add-ons, no per-seat charges, and no surprise overages when procurement season hits.

The numbers from Augment Code

Augment Code was scaling fast into enterprise.
Every new deal meant another round of contracts.

Cyberbase
0
Contract redlines across 
155 contracts
0
Due Diligence Questions 
Answered Automatically
0
Hours of manual 
review eliminated

Trusted by security teams at Augment Code, Robust Intelligence, Traceforce, and more.

Stop paying for a dedicated 
DDQ tool you'll quickly outgrow

Most Series A–C SaaS teams cobble together 2-4 tools 
to handle the security review workflow.

Cyberbase replaces them all.

What You’re Paying For

Typical Annual Cost

Cyberbase icon
Dedicated DDQ tool (Conveyor, Loopio, etc.)
$8,000 – $25,000+
Included
Security questionnaire automation (Vanta add-on)
$5,000 – $10,000
Included
Trust center (SafeBase, Vanta add-on, etc.)
$6,000 – $15,000+
Included
Contract review / redlining (legal ops)
$3,000 – $15,000
Included
Total fragmented stack
$22,000 – $65,000+
One platform

Sources: Vendor websites, G2 reviews, Vendor pricing data

Comparison

Every other tool in this category was built for legal departments. They solve contract negotiation problems. Cyberbase solves the security bottleneck problem

Built for security teams
Not just legal ops

Features
Cyberbase icon

Conveyor

SafeBase

Vanta

DocJuris

IncludedDDQ / security questionnaire automation
(Add on)
Trust Portal included free forever
Limited 
Credits
Bundled, paid
$6k Add-on
Contract redlining in same platform
One AI brain across DDQ + redlining + Trust
Source-cited answers (no hallucinations)
No usage caps / credit limits on questionnaires
Credit-based
Tier-capped
$25–144/yr by tier
N/A

Sources: Vendor websites, G2 reviews, Vendor pricing data

Frequently asked questions

What is due diligence questionnaire automation?

Due diligence questionnaires — the security and compliance forms vendors fill out during procurement, fundraising, or partnership reviews — usually take a team ten to forty hours each. The work is mostly digging: pulling answers from old questionnaires, policies, and audit reports to respond to dozens of overlapping questions. Cyberbase shortcuts all of that. Context Engine indexes your security policies, compliance certifications, previous questionnaire responses, and operational records. When a new questionnaire lands, the AI finds the right source material for each question and drafts an accurate answer with a citation back to where it came from. Excel and PDF formats are both supported. Answers that used to take a week show up in minutes, and every one of them is traceable.

What's the best DDQ automation software in 2026?

The best DDQ automation software depends on what else you need to do. Conveyor leads on AI accuracy for pure questionnaire response. SafeBase (Drata) leads on Trust Portal-driven deflection. Vanta leads if you also need full SOC 2 / ISO 27001 automation. Cyberbase leads if you want all three workflows in one platform — DDQ automation, a free-forever Trust Portal, and AI contract redlining — running on a single Context Engine that shares knowledge across them. No competitor unifies the three.

How fast can Cyberbase answer a DDQ?

A 300-question DDQ goes from inbox to draft response in minutes, not days. Your team then reviews the output rather than writing it from scratch — typically an hour of review for what used to be a week of writing. Augment Code used Cyberbase to auto-answer 8,356 DDQ questions in their first six months.

How much does DDQ automation software cost?

Standalone DDQ automation tools typically cost $8,000–$25,000+ per year (Conveyor's public Professional plan is $9,600/yr). Layering in a Trust Portal, security questionnaire automation, and contract redlining from separate vendors brings most Series A–C SaaS teams to $22,000–$65,000+ annually. Cyberbase replaces that fragmented stack with one platform — with the Trust Portal free forever and DDQ automation included in every paid plan.

What's the difference between a DDQ and a security questionnaire?

A security questionnaire is a subset of a DDQ. A DDQ (due diligence questionnaire) is a broad assessment covering security, operations, financials, and compliance. A security questionnaire focuses specifically on data handling, infrastructure security, and regulatory compliance. In practice, the lines blur — a 300-question "security questionnaire" from an enterprise prospect often covers everything a DDQ would. Cyberbase handles both from the same indexed knowledge base.

What file formats does Cyberbase support for DDQs?

Cyberbase ingests DDQs in Excel (.xlsx), Word (.docx), and PDF. Answers are returned in the original file format, preserving the sheet structure, question order, and formatting your prospect or investor expects. Teams don't have to reformat, re-paste, or translate anything back into the requester's template.

What is the Context Engine, and why does it matter for DDQs?

Context Engine is Cyberbase AI's continuously-updated knowledge layer — a dynamic internal brain that indexes your security policies, SOC 2 and ISO 27001 evidence, completed questionnaires, signed contracts, and DPA commitments, and keeps the links between them live. Because it learns from every finished questionnaire, redlined contract, and resolved DDQ, the corporate memory gets sharper over time. Every new DDQ is faster and more accurate than the last, the opposite of static Q&A libraries that rot the moment your policies change.

How is Cyberbase different from Conveyor, Loopio, or Vanta Questionnaire Automation?

Most DDQ tools are Q&A libraries you maintain manually. Someone has to remember to update the library every time a policy changes. Cyberbase is different in three ways. First, Context Engine stays live: when a policy updates, every future answer reflects it without manual re-entry. Second, Cyberbase handles the full DDQ spectrum: customer security reviews, investor DDQs, financial due diligence, and vendor risk assessments, from the same knowledge base. Third, Cyberbase doesn't cap usage: Vanta caps at 25–144 questionnaires/year by tier, Conveyor runs on credits, and Cyberbase handles 250+ per month with no throttling.

What kinds of DDQs does Cyberbase handle?

Customer security reviews, investor due diligence (pre-funding and post-funding), financial DDQs, vendor risk assessments, AI governance questionnaires (increasingly common since ISO 42001), and standard frameworks like SIG, CAIQ, and HECVAT. For Series A–C SaaS companies selling to enterprise, the ones managing customer security reviews and investor diligence simultaneously, answering all of them from a single indexed knowledge base is where the real time savings compound.

How does Cyberbase handle questions it can't confidently answer?

Rather than guessing, Cyberbase flags any question that can't be answered confidently from your current documentation and routes it to your team for manual response. Each flagged question is surfaced as a potential policy gap, so answering DDQs also becomes a continuous audit of where your documentation is thin. Most platforms fabricate around gaps. Cyberbase makes them visible.

Is DDQ automation included in every Cyberbase plan?

Yes. Every Cyberbase plan includes DDQ automation alongside the Trust Center, security questionnaire responses, and contract redlining, no add-on fees, no per-questionnaire charges, no usage caps. Replacing a fragmented stack of dedicated DDQ tools, trust centers, and contract review services typically saves Series A–C SaaS companies $22,000–$65,000+ per year.

What ROI can I expect from Cyberbase DDQ automation?

Augment Code, a Cyberbase customer, recovered 743 hours of team time and $185,750 in staff work within six months for a platform spend of $14,394: a 13:1 return. That work included 8,356 DDQ questions answered automatically and 155 contracts reviewed. The more security assessments, DDQs, and contracts your team handles, the more the math compounds in your favor.

How does Cyberbase automate security questionnaire responses?

Context Engine keeps an indexed copy of your security policies, SOC 2 reports, certifications, and prior questionnaire responses — refreshed as your documents change. When a new questionnaire shows up, the AI matches each question to the best source across all of that and drafts a complete, cited answer for your team to review. Template-based tools fall over when your policies evolve. Cyberbase doesn't, because it pulls from live source material and cross-checks multiple sources for consistency. When a question can't be answered confidently from what's already indexed, it gets flagged as a policy gap and routed to your security team to handle manually. Excel and PDF questionnaires are both supported, and most responses land in minutes.

Your next DDQ doesn't have to eat the week

Security questionnaires shouldn't be the thing that slows your pipeline. Cyberbase AI answers them in minutes from your live security program — sourced, traceable, and returned in the original file format.