# Regault

*/Startups/Regault*

## Startup Overview

This compliance engine directly connects cloud infrastructure states to regulatory frameworks. When cloud environments experience configuration drift, the system automatically maps those specific changes to exact control violations. Security and engineering teams use this capability to replace manual evidence collection and continuous screenshot gathering with programmatic, real-time verification.

Legacy compliance platforms and workflow tools like Vanta, Drata, and AuditBoard force teams into dashboard-heavy processes that interrupt development cycles. Instead, this solution operates as a fully headless evidence collector. It runs invisibly across cloud environments to pull required artifacts without human intervention. The commercial model abandons standard software licensing entirely, pricing the platform strictly on successful audit outcomes to align operational cost with verified regulatory approval.

## Startup Founding Hypothesis

**Approach**: that maps cloud configuration drift to specific regulatory control violations
**Competitors**:
- [Vanta](/Competitors/Vanta)
- [Drata](/Competitors/Drata)
- [AuditBoard](/Competitors/AuditBoard)
- [manual evidence collection](/Competitors/manual_evidence_collection)
**Differentiator2x2**: fully headless in evidence collection and priced strictly on successful audit outcomes

## Startup Solution Coordinate

**Solution**: [Headless Audit Engine](/Services/Headless_Audit_Engine)

## Startup Position2x2

```mermaid
quadrantChart
title Regulatory Compliance Evidence Market
x-axis "Manual Evidence Gathering" --> "Headless Collection"
y-axis "Seat/Subscription Pricing" --> "Audit Outcome Pricing"
quadrant-1 "Outcome-Aligned Automation"
quadrant-2 "Outcome-Priced Labor"
quadrant-3 "Traditional Compliance"
quadrant-4 "SaaS Automation"
"Regault": [0.85, 0.85]
"Vanta": [0.70, 0.30]
"Drata": [0.75, 0.25]
"AuditBoard": [0.30, 0.20]
"Manual Evidence": [0.10, 0.10]
```

## Startup Offer

**Proof**:
- Targeting zero engineering hours spent on manual screenshot collection and evidence formatting.
- Aiming to automatically map standard cloud configurations to SOC 2 and ISO 27001 controls without human intervention.
- Designed to pass external auditor review by providing fully verifiable cryptographic evidence logs.
**Tiers**:
- Name: Single Framework Outcome · Price: ~$10k–$15k per successful audit · Inclusions: Headless cloud configuration mapping, daily drift detection, and automated evidence generation for one regulatory standard (e.g., SOC 2).
- Name: Multi-Standard Unified · Price: ~$18k–$25k per joint audit cycle · Inclusions: Cross-framework control mapping, continuous multi-cloud monitoring, and deduplicated evidence collection for overlapping compliance standards (e.g., SOC 2 + ISO 27001).
**Guarantee**: Payment is strictly contingent on the external auditor accepting the generated evidence package; if missing or incorrectly mapped configuration data causes a control failure, the fee for that framework's audit cycle is waived.
**Business Function**: ProvideService
**Objection Handlers**:
- Auditors require human context for exceptions: The platform is designed to allow security teams to append signed justifications to any flagged configuration drift before the final audit export.
- We have legacy on-premise systems: Regault focuses strictly on API-accessible cloud environments; legacy physical infrastructure requires a separate manual evidence process.
- How do you define a successful outcome for billing: Payment is triggered only when the external auditing firm formally accepts the evidence package and issues the compliance report.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Clinical and precise, focused strictly on verifiable system states
**Tagline**: Headless evidence collection that maps cloud drift to compliance violations
**Icon Concept**: caliper
**Palette Intent**: institutional-cool
**Visual Identity**: Deep institutional navy and stark white pair with rigid monospaced typography and raw terminal-prompt motifs to reflect headless infrastructure auditing.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Regault → DevOps/SecOps Buyer → External Compliance Auditor → Enterprise Prospect
**Gtm Motion**: Acquires initial usage through developer-led deployment of a headless cloud monitoring agent discovered in infrastructure-as-code registries. Expands revenue by triggering outcome-based success fees upon the passing of specific compliance audits, growing total account value as the customer adds monitoring for additional regulatory frameworks like SOC 2 or ISO 27001.
**Agent Channel**: Intended to expose an automated evidence-fetching capability via a structured OpenAPI schema, targeting AI tool registries like the LangChain hub or OpenAI action directories so autonomous security agents can discover and query a company's live compliance state.
**Primary Channel**: Inbound discovery driven by DevOps and security engineers searching for continuous compliance or configuration drift modules directly within the Terraform Registry and AWS Marketplace.

## Startup Customer Journey

```mermaid
flowchart LR; A[Terraform Registry] --> B[DevOps Engineer]; B --> C[Headless Agent]; C --> D[Cloud Configuration]; D --> E[Evidence Package]; E --> F[External Auditor]; F --> G[Additional Framework]; G --> H[Enterprise Prospect];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 30-day shadow audit pilot with a cloud-native SaaS company, running Regault concurrently with their manual evidence collection to prove the automated package covers 100% of required SOC 2 cloud controls.
- 60-day dual-framework mapping pilot for an organization preparing for simultaneous SOC 2 and ISO 27001 audits, targeting the successful generation of a deduplicated evidence package that passes external auditor review.
**Target Metrics**:
- Target: 0 engineering hours spent capturing and formatting configuration screenshots per audit cycle
- Aim: 100% external auditor acceptance rate for cryptographically verified evidence packages
- Target: 40% reduction in evidence collection time for organizations undergoing joint SOC 2 and ISO 27001 audits
**Target Case Studies**:
- Mid-market B2B SaaS vendor (VP of Engineering): Demonstrating the elimination of engineering downtime by replacing manual AWS screenshot collection with continuous, headless API evidence gathering for an initial SOC 2 audit.
- Multi-cloud enterprise software provider (Director of Compliance): Validating the deduplication of audit workloads during concurrent SOC 2 and ISO 27001 assessments through cross-framework automated control mapping.
- High-growth FinTech startup (CISO): Proving the viability of the daily drift detection workflow by successfully submitting a final audit export containing developer-signed justifications for all flagged configuration shifts.
**Testimonial Targets**:
- VP of Engineering expressing relief that developers no longer have to pause sprint work to pull database access logs or manually capture cloud console configurations.
- External Compliance Auditor confirming that the cryptographically verified evidence logs were faster to review and easier to trust than traditional, manually compiled spreadsheets.
- CISO emphasizing confidence in the daily drift detection alerting them to infrastructure changes with enough time to append signed justifications before the audit window closed.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: The outcome-based pricing model results in zero revenue if a customer fails an audit due to internal human errors or offline process failures outside the platform's configuration drift detection. · Mitigation Status: unmitigated
- Severity: high · Description: Third-party auditing firms refuse to accept programmatic, headless evidence artifacts in place of traditional manual screenshots and point-in-time PDF reports. · Mitigation Status: in-progress
- Severity: high · Description: Major cloud providers implement strict API rate limits or deprecate the specific configuration endpoints required for the continuous drift monitoring pipeline. · Mitigation Status: unmitigated
- Severity: moderate · Description: Incumbents like Vanta or Drata replicate headless evidence collection for standard frameworks like SOC2, neutralizing the primary technical differentiator before Regault achieves meaningful market penetration. · Mitigation Status: in-progress

## Startup Competitors

- [Vanta](/Competitors/Vanta) — Compliance Automation
- [Drata](/Competitors/Drata) — Compliance Automation
- [AuditBoard](/Competitors/AuditBoard) — Enterprise Audit Platform
- [Manual Evidence Collection](/Competitors/Manual_Evidence_Collection) — Status Quo
- [Secureframe](/Competitors/Secureframe) — Compliance Platform

## Startup Solution Stack

- [Audit Outcome Service](/Services/Audit_Outcome_Service) — Service-as-Software
- [Control Mapping Agent](/Agents/Control_Mapping_Agent) — Agent
- [Evidence Collection Worker](/Agents/Evidence_Collection_Worker) — Agent
- [Configuration Drift Engine](/Software/Configuration_Drift_Engine) — Software
- [Headless Audit API](/Software/Headless_Audit_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the strategic risk architect, not a manual screenshot collector for auditors
- **Want**: to achieve SOC 2 or ISO 27001 certification without engineering distraction
- **Identity**: the Head of Compliance at a cloud-native SaaS enterprise
**Plan**:
- Step: Select Frameworks · Detail: Define which regulatory standards like SOC 2 or ISO 27001 your cloud environment must satisfy.
- Step: Confirm Mappings · Detail: Review the automated links between your live cloud API states and specific compliance control requirements.
- Step: Export Evidence · Detail: Generate auditor-ready cryptographic logs that prove continuous compliance across every joint audit cycle.
**Guide**:
- **Empathy**: Audit readiness is won in daily configuration stability — but static snapshots fail when cloud drift happens.
**Problem**:
- **Villain**: manual evidence collection
- **External**: Security teams spend hundreds of hours capturing AWS and Azure screenshots to prove controls to Vanta or Drata dashboards
- **Internal**: You feel like an expensive clerk chasing engineers for terminal output and configuration logs
- **Philosophical**: Regulatory integrity belongs in verifiable system states, not in human-edited spreadsheets.
**Success**: Audit evidence is generated automatically from your live environment, with payment only triggered upon formal auditor acceptance.
**One Liner**: What if cloud evidence collected itself? Regault maps configuration drift to regulatory violations, delivering auditor-accepted compliance packages on a per-outcome pricing model.
**Positioning**:
- **So That**: automate evidence generation with zero engineering hours
- **Unlike**: Vanta and manual screenshot collection
- **For Whom**: Head of Compliance at cloud-native SaaS
- **Category**: Headless Cloud Compliance Automation
**Call To Action**:
- **Direct**: Submit Audit Scope
- **Transitional**: Review Sample Evidence Log
**Failure Stakes**:
- Engineering cycles lost to screenshots
- Undetected configuration drift causing failures
- Exorbitant audit fees for rejected evidence
**Transformation**:
- **To**: one of the few compliance leads who operates at the speed of DevOps
- **From**: a screenshot-chasing compliance manager using Vanta
**Controlling Idea**: Compliance should be a live system state, not a manual paper trail.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if cloud evidence collected itself? Regault maps configuration drift to regulatory violations, delivering auditor-accepted compliance packages on a per-outcome pricing model.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 7364200fbb1cd830

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Headless Cloud Compliance Automation for Head of Compliance at cloud-native SaaS. Unlike Vanta and manual screenshot collection — automate evidence generation with zero engineering hours.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 6c3845a1054c25d0

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Security teams spend hundreds of hours capturing AWS and Azure screenshots to prove controls to Vanta or Drata dashboards
Solution: What if cloud evidence collected itself? Regault maps configuration drift to regulatory violations, delivering auditor-accepted compliance packages on a per-outcome pricing model.
Customer: Head of Compliance at cloud-native SaaS
Unlike: Vanta and manual screenshot collection
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: bb9905ceaed81bd7

## Startup Token M E D D P I C C

**Pain**: Security teams spend hundreds of hours capturing AWS and Azure screenshots to prove controls to Vanta or Drata dashboards
**Metrics**: Target: Audit evidence is generated automatically from your live environment, with payment only triggered upon formal auditor acceptance.
**Rendered**: Pain: Security teams spend hundreds of hours capturing AWS and Azure screenshots to prove controls to Vanta or Drata dashboards
Economic buyer: DevOps/SecOps Buyer
Metrics: Target: Audit evidence is generated automatically from your live environment, with payment only triggered upon formal auditor acceptance.
Competition: Vanta and manual screenshot collection
**Mechanism**: spine-derived-v1
**Competition**: Vanta and manual screenshot collection
**Economic Buyer**: DevOps/SecOps Buyer
**Vocab Fingerprint**: d7c3876ca39c4411

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Headless Cloud Compliance Automation for Head of Compliance at cloud-native SaaS

Head of Compliance at cloud-native SaaS — Security teams spend hundreds of hours capturing AWS and Azure screenshots to prove controls to Vanta or Drata dashboards What if cloud evidence collected itself? Regault maps configuration drift to regulatory violations, delivering auditor-accepted compliance packages on a per-outcome pricing model.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 1857f297cb0c2d29

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Headless Cloud Compliance Automation. What if cloud evidence collected itself? Regault maps configuration drift to regulatory violations, delivering auditor-accepted compliance packages on a per-outcome pricing model. Serves Head of Compliance at cloud-native SaaS.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 23173bf34006c181

## Neighborhood

### Candidate solutions

- [Audit Hazmat Car Placements](/Problems/Audit_Hazmat_Car_Placements) — candidate solution for · Problems

### Composed of

- [Audit Outcome Service](/Services/Audit_Outcome_Service) — composes · Services
- [Configuration Drift Engine](/Software/Configuration_Drift_Engine) — composes · Software
- [Evidence Collection Worker](/Agents/Evidence_Collection_Worker) — composes · Agents
- [Headless Audit API](/Software/Headless_Audit_API) — composes · Software
- [Control Mapping Agent](/Agents/Control_Mapping_Agent) — composes · Agents

### What it offers

- [Headless Audit Engine](/Services/Headless_Audit_Engine) — offers · Services

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

### Competitors

- [Drata](/Competitors/Drata) — competes with · Competitors
- [Secureframe](/Competitors/Secureframe) — competes with · Competitors
- [Manual Evidence Collection](/Competitors/Manual_Evidence_Collection) — competes with · Competitors
- [AuditBoard](/Competitors/AuditBoard) — competes with · Competitors
- [Vanta](/Competitors/Vanta) — competes with · Competitors

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