# Autiag

*/Startups/Autiag*

## Startup Overview

This platform continuously ingests raw operational data from digital environments and maps it directly to regulatory compliance controls. It replaces the reliance on point-in-time evidence collection with an automated validation engine that proves security postures dynamically.

Engineering and security teams lose hundreds of hours capturing screenshots, compiling logs, and translating technical configurations into audit-ready evidence. The software removes this translation layer entirely, converting digital infrastructure state into the exact formats required by external assessors.

Legacy approaches rely on manual compliance audits or generic checklist tools like Drata and AuditBoard. By contrast, this solution is developer-native for immediate deployment within existing workflows, providing deterministic control-mapping accuracy that eliminates the ambiguity of human evidence gathering.

## Startup Founding Hypothesis

**Approach**: that maps raw operational data to compliance controls
**Competitors**:
- [Manual Compliance Audits](/Competitors/Manual_Compliance_Audits)
- [Drata](/Competitors/Drata)
- [AuditBoard](/Competitors/AuditBoard)
**Differentiator2x2**: developer-native for seamless deployment and deterministic in control-mapping accuracy

## Startup Solution Coordinate

**Solution**: [Autiag Compliance Engine](/Software/Autiag_Compliance_Engine)

## Startup Position2x2

```mermaid
quadrantChart
    title Compliance Control Mapping Defensibility
    x-axis Business-led Configuration --> Developer-Native Deployment
    y-axis Manual & Heuristic Checks --> Deterministic Mapping Accuracy
    Manual Compliance Audits: [0.15, 0.15]
    AuditBoard: [0.25, 0.50]
    Drata: [0.45, 0.65]
    Autiag: [0.90, 0.90]
```

## Startup Offer

**Proof**:
- Aiming to reduce engineering evidence-collection time by 80% for growth-stage SaaS companies.
- Targeting zero auditor-rejected controls via our deterministic rules engine.
- Designed to achieve initial read-only environment integration in under 60 minutes.
**Tiers**:
- Name: Essential Framework · Price: ~$800–$1,200/mo · Inclusions: Automated data mapping for a single compliance framework (e.g., SOC2), up to 20 intended infrastructure integrations, and unlimited read-only developer seats.
- Name: Multi-Standard Matrix · Price: ~$1,800–$2,500/mo · Inclusions: Continuous mapping across up to 3 frameworks (SOC2, ISO27001, GDPR), custom control definitions, and up to 50 intended infrastructure integrations.
- Name: Enterprise Scale · Price: enterprise: ~$35k–$50k/yr · Inclusions: Unlimited frameworks, dedicated deployment support, API access to the deterministic mapping engine, and enterprise SLA.
**Guarantee**: If a certified auditor rejects an automatically mapped control due to a data-retrieval error from our engine, we will manually remediate the missing evidence and refund your platform fee for that month.
**Business Function**: ProvideService
**Objection Handlers**:
- Auditors will not trust automated data mappings. -> The engine is designed to export fully traceable, cryptographically verifiable evidence logs that match standard auditor request lists.
- We cannot give a third-party write access to our infrastructure. -> The platform is designed to operate entirely on strictly read-only, scope-limited IAM roles.
- Translating raw logs into auditor-speak requires human judgment. -> We use a developer-native rules engine to bind specific infrastructure states directly to compliance requirements, preventing vague AI interpretations.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Technical register marked by authoritative precision and absolute factual certainty.
**Tagline**: Deterministic compliance controls mapped directly from operational data.
**Icon Concept**: server
**Palette Intent**: institutional-cool
**Visual Identity**: A stark palette of deep navy and icy blue pairs with monospace typography to evoke the deterministic certainty of a developer's environment.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Autiag → DevSecOps Engineering → Enterprise Software Vendor
**Gtm Motion**: Acquires security engineering teams via self-serve deployment of the control-mapping API for initial infrastructure validation, then expands into organization-wide compliance contracts when the Chief Information Security Officer standardizes audit reporting across all product lines.
**Agent Channel**: Designed to publish structural API definitions to the LangChain Tool Hub and Semantic Kernel plugin directories, enabling automated security auditing agents to discover and query the compliance control mappings.
**Primary Channel**: Discovery via infrastructure-as-code registries, specifically targeting developers searching the Terraform Registry and GitHub for automated compliance and deterministic control-mapping configurations.

## Startup Customer Journey

```mermaid
flowchart LR
A[Terraform Registry] --> B[Control-Mapping API]
B --> C[Infrastructure Validation Report]
C --> D[Single Framework Data Map]
D --> E[Multi-Standard Matrix Contract]
E --> F[Cryptographic Evidence Log]
```

## 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 SOC2 readiness pilot: Prove the platform successfully populates standard auditor request lists automatically using exclusively read-only, scope-limited IAM roles.
- 60-day multi-framework expansion pilot: Demonstrate the matrix engine mapping a single existing control environment simultaneously to SOC2, ISO27001, and GDPR with zero manual translation.
**Target Metrics**:
- Target: 80% reduction in engineering hours spent on compliance evidence collection
- Aim: Zero auditor-rejected controls resulting from automated data-retrieval errors
- Target: Under 60 minutes to achieve initial read-only environment integration
- Aim: 100% cryptographic traceability for all exported auditor evidence logs
**Target Case Studies**:
- Growth-stage B2B SaaS company pursuing initial SOC2 Type II compliance: Target replacing manual screenshot collection by senior engineers with a fully automated, read-only evidence repository.
- Mid-market fintech expanding internationally: Aim to demonstrate how the deterministic engine maps existing SOC2 controls directly to ISO27001 and GDPR requirements without duplicate engineering effort.
- Enterprise data infrastructure vendor facing auditor scrutiny: Target proving that cryptographically verifiable evidence logs eliminate auditor rejection and back-and-forth evidence requests.
**Testimonial Targets**:
- VP of Engineering: Relief that compliance preparation no longer drains senior developer cycles, validating the hands-off nature of the read-only IAM integrations.
- Chief Information Security Officer (CISO): High confidence in the deterministic rules engine, specifically praising the platform's ability to bind infrastructure states directly to compliance requirements without vague AI interpretations.
- External Auditor: Strong preference for receiving Autiag's cryptographically verifiable logs over traditional manual evidence, noting the complete elimination of data provenance ambiguity.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: External audit firms refuse to accept automated deterministic data mappings as valid evidence, rendering the platform useless for formal certifications. · Mitigation Status: unmitigated
- Severity: high · Description: Enterprise security teams block deployment because they refuse to grant a new vendor deep read-access to raw operational infrastructure data. · Mitigation Status: in-progress
- Severity: high · Description: Maintaining deterministic mapping accuracy across unannounced third-party API changes drains engineering resources and causes temporary compliance blind spots. · Mitigation Status: in-progress
- Severity: moderate · Description: Incumbents like Drata and Vanta release developer-native API extensions that neutralize Autiag's primary market wedge. · Mitigation Status: unmitigated

## Startup Competitors

- [Manual Compliance Audits](/Competitors/Manual_Compliance_Audits) — Status Quo
- [Drata](/Competitors/Drata) — Incumbent
- [AuditBoard](/Competitors/AuditBoard) — Enterprise Platform
- [Vanta](/Competitors/Vanta) — Market Leader
- [Secureframe](/Competitors/Secureframe) — Automated Compliance

## Startup Solution Stack

- [Continuous Compliance Service](/Services/Continuous_Compliance_Service) — Service-as-Software
- [Evidence Gathering Agent](/Agents/Evidence_Gathering_Agent) — Agent
- [Control Evaluation Engine](/Software/Control_Evaluation_Engine) — Software
- [Operational Telemetry API](/Software/Operational_Telemetry_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the architect of a secure, compliant infrastructure, not a manual screenshot-gatherer
- **Want**: to automate compliance evidence collection without distracting the engineering team
- **Identity**: the Lead DevOps Engineer at a growth-stage SaaS company
**Plan**:
- Step: Review · Detail: Browse our pre-built mappings for SOC2, ISO27001, and GDPR controls.
- Step: Check · Detail: Verify the deterministic links between your AWS resources and specific compliance requirements.
- Step: Generate · Detail: Export traceable, auditor-ready evidence logs that require zero manual data retrieval.
**Guide**:
- **Empathy**: When your sprint velocity drops because engineers are stuck hunting for evidence in CloudTrail, your product roadmap suffers.
**Problem**:
- **Villain**: manual compliance audits
- **External**: Preparing for SOC2 or ISO27001 requires engineers to manually pull evidence logs from AWS, GitHub, and Jira for weeks on end.
- **Internal**: You feel like your high-value engineering time is being wasted on clerical data-entry for auditors.
- **Philosophical**: Infrastructure code was built for deterministic execution, not for manual translation into compliance spreadsheets.
**Success**: You achieve SOC2 or ISO27001 certification with zero engineering downtime and continuous, verifiable evidence mapping.
**One Liner**: Manual compliance audits cost growth-stage SaaS companies hundreds of engineering hours. Autiag maps operational data to controls so you can pass audits without manual effort.
**Positioning**:
- **So That**: automate evidence gathering directly from infrastructure with 100% deterministic accuracy
- **Unlike**: Manual evidence collection in Drata
- **For Whom**: Lead DevOps Engineers at growth-stage SaaS
- **Category**: Continuous Compliance Automation
**Call To Action**:
- **Direct**: Automate your framework
- **Transitional**: View sample evidence logs
**Failure Stakes**:
- Engineering sprints delayed by weeks
- Failed auditor control checks
- Loss of enterprise customer trust
**Transformation**:
- **To**: free to build scalable infrastructure, no longer stuck collecting evidence
- **From**: the engineer manually pulling GitHub PR logs
**Controlling Idea**: Compliance should be a deterministic output of your operational data, not a project.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Manual compliance audits cost growth-stage SaaS companies hundreds of engineering hours. Autiag maps operational data to controls so you can pass audits without manual effort.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: dd0a6c26584b455d

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Continuous Compliance Automation for Lead DevOps Engineers at growth-stage SaaS. Unlike Manual evidence collection in Drata — automate evidence gathering directly from infrastructure with 100% deterministic accuracy.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 8014c5916471843d

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Preparing for SOC2 or ISO27001 requires engineers to manually pull evidence logs from AWS, GitHub, and Jira for weeks on end.
Solution: Manual compliance audits cost growth-stage SaaS companies hundreds of engineering hours. Autiag maps operational data to controls so you can pass audits without manual effort.
Customer: Lead DevOps Engineers at growth-stage SaaS
Unlike: Manual evidence collection in Drata
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 7cd0aa34aef1538d

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

**Pain**: Preparing for SOC2 or ISO27001 requires engineers to manually pull evidence logs from AWS, GitHub, and Jira for weeks on end.
**Metrics**: Target: You achieve SOC2 or ISO27001 certification with zero engineering downtime and continuous, verifiable evidence mapping.
**Rendered**: Pain: Preparing for SOC2 or ISO27001 requires engineers to manually pull evidence logs from AWS, GitHub, and Jira for weeks on end.
Economic buyer: DevSecOps Engineering
Metrics: Target: You achieve SOC2 or ISO27001 certification with zero engineering downtime and continuous, verifiable evidence mapping.
Competition: Manual evidence collection in Drata
**Mechanism**: spine-derived-v1
**Competition**: Manual evidence collection in Drata
**Economic Buyer**: DevSecOps Engineering
**Vocab Fingerprint**: ffe9936fc77a9226

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Continuous Compliance Automation for Lead DevOps Engineers at growth-stage SaaS

Lead DevOps Engineers at growth-stage SaaS — Preparing for SOC2 or ISO27001 requires engineers to manually pull evidence logs from AWS, GitHub, and Jira for weeks on end. Manual compliance audits cost growth-stage SaaS companies hundreds of engineering hours. Autiag maps operational data to controls so you can pass audits without manual effort.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 30fbc243c67586e3

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Continuous Compliance Automation. Manual compliance audits cost growth-stage SaaS companies hundreds of engineering hours. Autiag maps operational data to controls so you can pass audits without manual effort. Serves Lead DevOps Engineers at growth-stage SaaS.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: af4903cbb1691f3e

## Neighborhood

### Candidate solutions

- [Service Technician Shortage](/Problems/Service_Technician_Shortage) — candidate solution for · Problems

### What it offers

- [Autiag Compliance Engine](/Software/Autiag_Compliance_Engine) — offers · Software

### Composed of

- [Operational Telemetry API](/Software/Operational_Telemetry_API) — composes · Software
- [Continuous Compliance Service](/Services/Continuous_Compliance_Service) — composes · Services
- [Control Evaluation Engine](/Software/Control_Evaluation_Engine) — composes · Software
- [Evidence Gathering Agent](/Agents/Evidence_Gathering_Agent) — composes · Agents

### Embodies

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

### Competitors

- [Secureframe](/Competitors/Secureframe) — competes with · Competitors
- [Vanta](/Competitors/Vanta) — competes with · Competitors
- [AuditBoard](/Competitors/AuditBoard) — competes with · Competitors
- [Drata](/Competitors/Drata) — competes with · Competitors
- [Manual Compliance Audits](/Competitors/Manual_Compliance_Audits) — competes with · Competitors

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